diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..80d4666cee3fb2e6f03aaab3c89770a82cadfdf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10331, "bytes_utf8": 10331, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14924, "cached_input_tokens": 12032, "output_tokens": 276, "reasoning_output_tokens": 170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..89e62fc246c8b4513e6bf720f58b091f76a1423e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_0024a3b5c320e460", + "api_calls": 0, + "input_tokens": 14924, + "cached_input_tokens": 12032, + "output_tokens": 276, + "total_tokens": 15200, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8913.06, + "sql_execution_elapsed_ms_total": 2.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..480acf3e73a3c1e4c684121d630559bbdf0d8b63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:44.675870+00:00", + "ended_at": "2026-05-19T16:02:53.588956+00:00", + "elapsed_ms": 8913.06, + "prompt_metrics": { + "chars": 10331, + "bytes_utf8": 10331, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 723, + "bytes_utf8": 723, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 379, + "bytes_utf8": 379, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14924, + "cached_input_tokens": 12032, + "output_tokens": 276, + "reasoning_output_tokens": 170 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0edb1999f910d3a9a9f568a888847745ed9c4557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Browser.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Browser", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cb69cf01a255d500a3b455b562ac4965eee1c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-ac32-7ab3-891d-d9afdd9297c9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Browser\\\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\",\"notes\":\"Applied the planned Threshold Rarity CDF template with measure_col bound to \\\"Browser\\\" and measure_threshold fixed at 2.0. CAST to REAL is used because the schema snapshot stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14924,"cached_input_tokens":12032,"output_tokens":276,"reasoning_output_tokens":170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c3f88089631b7468d6c7a3212fc51344a485829 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Browser\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m6\";","notes":"Applied the planned Threshold Rarity CDF template with measure_col bound to \"Browser\" and measure_threshold fixed at 2.0. CAST to REAL is used because the schema snapshot stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6d34e2402213a78f830753f1fd0439cc9446a9a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10849, "bytes_utf8": 10849, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 832, "bytes_utf8": 832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 12032, "output_tokens": 731, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..712662c3f836127cafce4fa4d684f270cb9a816f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_00387f4822336c98", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 12032, + "output_tokens": 731, + "total_tokens": 15789, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13369.4, + "sql_execution_elapsed_ms_total": 15.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1b8f0ba887017bf9790177fd0f2a0ad94435d59c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:02.300792+00:00", + "ended_at": "2026-05-19T15:36:15.670256+00:00", + "elapsed_ms": 13369.4, + "prompt_metrics": { + "chars": 10849, + "bytes_utf8": 10849, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1222, + "bytes_utf8": 1222, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 832, + "bytes_utf8": 832, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15058, + "cached_input_tokens": 12032, + "output_tokens": 731, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a91f8f3c7d6756ca5ac8497af2ae83ea18279176 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=TrafficType, measure_col=Administrative_Duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative_Duration", + "item_col": "ProductRelated", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d27fc91a8ca92ecf1d9459a7e501b3599e7509a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-390a-78e3-8a3a-d0953da6f00a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"TrafficType\\\",\\n \\\"ProductRelated\\\",\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"TrafficType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"TrafficType\\\" IS NOT NULL\\n AND \\\"ProductRelated\\\" IS NOT NULL\\n AND \\\"Administrative_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative_Duration\\\") <> ''\\nGROUP BY \\\"TrafficType\\\", \\\"ProductRelated\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=TrafficType, item_col=ProductRelated, and measure_col=Administrative_Duration. Cast Administrative_Duration to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15058,"cached_input_tokens":12032,"output_tokens":731,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be9b6947a085089e4c357307787bbc4b6bcce14e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"TrafficType\",\n \"ProductRelated\",\n SUM(CAST(\"Administrative_Duration\" AS REAL)) AS total_measure,\n SUM(CAST(\"Administrative_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Administrative_Duration\" AS REAL))) OVER (PARTITION BY \"TrafficType\") AS share_within_group\nFROM \"m6\"\nWHERE \"TrafficType\" IS NOT NULL\n AND \"ProductRelated\" IS NOT NULL\n AND \"Administrative_Duration\" IS NOT NULL\n AND TRIM(\"Administrative_Duration\") <> ''\nGROUP BY \"TrafficType\", \"ProductRelated\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=TrafficType, item_col=ProductRelated, and measure_col=Administrative_Duration. Cast Administrative_Duration to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..79351119ea829774a4029bbddfbdea8ca6c95ffc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10327, "bytes_utf8": 10327, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 294, "bytes_utf8": 294, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 13696, "output_tokens": 429, "reasoning_output_tokens": 355}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..388f81bcdace71d0286d46d12b94f66c82ebbcd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_043a1c3efa7e0cbf", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 429, + "total_tokens": 15340, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10248.4, + "sql_execution_elapsed_ms_total": 5.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..29f89a2c74cd929983c22b4aef7bc5a3f30f2bf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:40.165094+00:00", + "ended_at": "2026-05-19T15:32:50.413530+00:00", + "elapsed_ms": 10248.4, + "prompt_metrics": { + "chars": 10327, + "bytes_utf8": 10327, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 648, + "bytes_utf8": 648, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 294, + "bytes_utf8": 294, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14911, + "cached_input_tokens": 13696, + "output_tokens": 429, + "reasoning_output_tokens": 355 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fba16234f50dc63ea8a6f8d563b6229bf753d72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=OperatingSystems.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "OperatingSystems", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6857a1309c649ba0cd5c81c9639411a9b7af7cf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-2379-7c12-a770-148612e9fb3d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"OperatingSystems\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count by the bound category column \\\"OperatingSystems\\\" using the provided template skeleton.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":13696,"output_tokens":429,"reasoning_output_tokens":355}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6408b530a3b9e8a3b06c0b4ef84ef535ef4ed823 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"OperatingSystems\", COUNT(*) AS \"row_count\"\nFROM \"m6\"\nGROUP BY \"OperatingSystems\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count by the bound category column \"OperatingSystems\" using the provided template skeleton."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c5336cb61d4988113ae5a9d87f0b75ddf4918c06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10960, "bytes_utf8": 10960, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15075, "cached_input_tokens": 13696, "output_tokens": 552, "reasoning_output_tokens": 372}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cde7d90df07415328a51ceb81b5613f691d26a45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_04f626ba2731ab5e", + "api_calls": 0, + "input_tokens": 15075, + "cached_input_tokens": 13696, + "output_tokens": 552, + "total_tokens": 15627, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14045.49, + "sql_execution_elapsed_ms_total": 7.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82531d4af15974a38e477a36795df008183e122a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:49.756155+00:00", + "ended_at": "2026-05-19T15:48:03.801688+00:00", + "elapsed_ms": 14045.49, + "prompt_metrics": { + "chars": 10960, + "bytes_utf8": 10960, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1059, + "bytes_utf8": 1059, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 660, + "bytes_utf8": 660, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15075, + "cached_input_tokens": 13696, + "output_tokens": 552, + "reasoning_output_tokens": 372 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab2145caa904bc2fc6f5aa7fe8b19761a5facfd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=SpecialDay, measure_col=SpecialDay.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "SpecialDay", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..53525a75b9553cc8628e250f5a97d42a9b602136 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-04f2-73b2-96aa-8be0730abc77"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"SpecialDay\\\", SUM(CAST(\\\"SpecialDay\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m6\\\"\\n GROUP BY \\\"SpecialDay\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"SpecialDay\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the planned template with group_col=\\\"SpecialDay\\\" and measure_col=\\\"SpecialDay\\\". CAST(\\\"SpecialDay\\\" AS REAL) is applied because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15075,"cached_input_tokens":13696,"output_tokens":552,"reasoning_output_tokens":372}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e80f519088306701a6eed269708817b5782bb96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"SpecialDay\", SUM(CAST(\"SpecialDay\" AS REAL)) AS \"group_value\"\n FROM \"m6\"\n GROUP BY \"SpecialDay\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"SpecialDay\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the planned template with group_col=\"SpecialDay\" and measure_col=\"SpecialDay\". CAST(\"SpecialDay\" AS REAL) is applied because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ce40d192cee1802aeec9c315798f3122f9a43e98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:04.396684+00:00", + "ended_at": "2026-05-19T16:06:07.426552+00:00", + "elapsed_ms": 3029.83, + "returncode": 1, + "prompt_metrics": { + "chars": 10404, + "bytes_utf8": 10404, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ce4f537e679a416d52e4a6e889e6f618be845cdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:08.429175+00:00", + "ended_at": "2026-05-19T16:06:11.380513+00:00", + "elapsed_ms": 2951.28, + "returncode": 1, + "prompt_metrics": { + "chars": 10404, + "bytes_utf8": 10404, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f244afe01331632f85087d8e5a0f2ca78608acc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=OperatingSystems.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "OperatingSystems", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f244afe01331632f85087d8e5a0f2ca78608acc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=OperatingSystems.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "OperatingSystems", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..09971418baea63ed5cc5ec1d3db5edc2b8c78185 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b881-7673-9742-a4e0cf9eb2d3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7b8a100977e2cdb979b327ead72dd70a44299b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b881-7673-9742-a4e0cf9eb2d3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..24aaf90c18efe877b7b64a8bd3a507d1927b7515 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-c849-7ca0-a934-99cf3cc04bea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e38142ee07bc7409a62d0df4837e556e8d293bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-c849-7ca0-a934-99cf3cc04bea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9624f89a3e5d44b3fa1332431a4be41f8676b30f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10615, "bytes_utf8": 10615, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1699, "bytes_utf8": 1699, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14977, "cached_input_tokens": 13696, "output_tokens": 1050, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a418f6c0bad92d46e7167e482618730b9fcfece2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_075c9e92d86f2e7d", + "api_calls": 0, + "input_tokens": 14977, + "cached_input_tokens": 13696, + "output_tokens": 1050, + "total_tokens": 16027, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22685.82, + "sql_execution_elapsed_ms_total": 67.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84ea6f80de5a9404f0768f50ee78e8f761d639bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:21.401139+00:00", + "ended_at": "2026-05-19T15:51:44.087043+00:00", + "elapsed_ms": 22685.82, + "prompt_metrics": { + "chars": 10615, + "bytes_utf8": 10615, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2353, + "bytes_utf8": 2353, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1699, + "bytes_utf8": 1699, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14977, + "cached_input_tokens": 13696, + "output_tokens": 1050, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b884098024c42dec04cc0eef911890c256618a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=VisitorType, measure_col=Administrative_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Administrative_Duration", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0be58b5c0a9cef2116cc38af023efabce8193082 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-3f3e-75a3-b6a2-fa836ee75f50"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"VisitorType\\\" AS \\\"group_col\\\",\\n CAST(\\\"Administrative_Duration\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"VisitorType\\\" IS NOT NULL\\n AND \\\"Administrative_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative_Duration\\\") <> ''\\n),\\n\\\"counts\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n COUNT(*) AS \\\"n\\\",\\n (1.0 + 0.95 * (COUNT(*) - 1)) AS \\\"pos\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"group_col\\\"\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\"\\n FROM \\\"base\\\"\\n)\\nSELECT\\n \\\"c\\\".\\\"group_col\\\" AS \\\"VisitorType\\\",\\n CASE\\n WHEN CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) = \\\"c\\\".\\\"pos\\\" THEN\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) THEN \\\"r\\\".\\\"measure\\\" END)\\n ELSE\\n (\\n (CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) + 1 - \\\"c\\\".\\\"pos\\\") *\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) THEN \\\"r\\\".\\\"measure\\\" END)\\n ) + (\\n (\\\"c\\\".\\\"pos\\\" - CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER)) *\\n MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) + 1 THEN \\\"r\\\".\\\"measure\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"counts\\\" AS \\\"c\\\"\\nJOIN \\\"ranked\\\" AS \\\"r\\\"\\n ON \\\"r\\\".\\\"group_col\\\" = \\\"c\\\".\\\"group_col\\\"\\nGROUP BY \\\"c\\\".\\\"group_col\\\", \\\"c\\\".\\\"pos\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 95th percentile for each \\\"VisitorType\\\" group using window functions and linear interpolation over CAST(\\\"Administrative_Duration\\\" AS REAL).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14977,"cached_input_tokens":13696,"output_tokens":1050,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f263cfb186973e2a94517bb7a018dd23efac603f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"VisitorType\" AS \"group_col\",\n CAST(\"Administrative_Duration\" AS REAL) AS \"measure\"\n FROM \"m6\"\n WHERE \"VisitorType\" IS NOT NULL\n AND \"Administrative_Duration\" IS NOT NULL\n AND TRIM(\"Administrative_Duration\") <> ''\n),\n\"counts\" AS (\n SELECT\n \"group_col\",\n COUNT(*) AS \"n\",\n (1.0 + 0.95 * (COUNT(*) - 1)) AS \"pos\"\n FROM \"base\"\n GROUP BY \"group_col\"\n),\n\"ranked\" AS (\n SELECT\n \"group_col\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure\") AS \"rn\"\n FROM \"base\"\n)\nSELECT\n \"c\".\"group_col\" AS \"VisitorType\",\n CASE\n WHEN CAST(\"c\".\"pos\" AS INTEGER) = \"c\".\"pos\" THEN\n MAX(CASE WHEN \"r\".\"rn\" = CAST(\"c\".\"pos\" AS INTEGER) THEN \"r\".\"measure\" END)\n ELSE\n (\n (CAST(\"c\".\"pos\" AS INTEGER) + 1 - \"c\".\"pos\") *\n MAX(CASE WHEN \"r\".\"rn\" = CAST(\"c\".\"pos\" AS INTEGER) THEN \"r\".\"measure\" END)\n ) + (\n (\"c\".\"pos\" - CAST(\"c\".\"pos\" AS INTEGER)) *\n MAX(CASE WHEN \"r\".\"rn\" = CAST(\"c\".\"pos\" AS INTEGER) + 1 THEN \"r\".\"measure\" END)\n )\n END AS \"percentile_measure\"\nFROM \"counts\" AS \"c\"\nJOIN \"ranked\" AS \"r\"\n ON \"r\".\"group_col\" = \"c\".\"group_col\"\nGROUP BY \"c\".\"group_col\", \"c\".\"pos\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 95th percentile for each \"VisitorType\" group using window functions and linear interpolation over CAST(\"Administrative_Duration\" AS REAL)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e1de2b9700436a0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e1de2b9700436a0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ad852cbb19c1fa68c0c722d0a13cd62b176da09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e1de2b9700436a0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10408, "bytes_utf8": 10408, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 407, "bytes_utf8": 407, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 273, "reasoning_output_tokens": 167}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e237a4b5878d48a1bf13c20d67721c850002872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11214, "bytes_utf8": 11214, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 658, "bytes_utf8": 658, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15143, "cached_input_tokens": 13696, "output_tokens": 482, "reasoning_output_tokens": 301}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22d32d1f1df9941f5f167d457246bfcc5b336e29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_0e2e66f862cc66c8", + "api_calls": 0, + "input_tokens": 15143, + "cached_input_tokens": 13696, + "output_tokens": 482, + "total_tokens": 15625, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19221.38, + "sql_execution_elapsed_ms_total": 8.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bc62bf6ee5e87bb86c461e638fe88a8392b05938 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:13.494816+00:00", + "ended_at": "2026-05-19T15:40:32.716226+00:00", + "elapsed_ms": 19221.38, + "prompt_metrics": { + "chars": 11214, + "bytes_utf8": 11214, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1693, + "bytes_utf8": 1693, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 658, + "bytes_utf8": 658, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15143, + "cached_input_tokens": 13696, + "output_tokens": 482, + "reasoning_output_tokens": 301 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..35b78873b9bf23c328021613bdde25c19f617299 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Revenue, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Revenue", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..79627d413b43f38039921e62454ff2212abcb757 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e5-0e22-7262-aa17-ecb811064f94"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1996385, Requested 15778. Please try again in 364ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15778. Please try again in 473ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Revenue\\\",\\n SUM(CASE WHEN \\\"Weekend\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Revenue\\\"\\n)\\nSELECT \\\"Revenue\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes, for each Revenue group, the ratio of rows with Weekend='FALSE' to rows with Weekend='TRUE'. The ratio is NULL when a group has no Weekend='TRUE' rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15143,"cached_input_tokens":13696,"output_tokens":482,"reasoning_output_tokens":301}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..730f1131c76dae03f61c36bad114d0abc60205f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Revenue\",\n SUM(CASE WHEN \"Weekend\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Weekend\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Revenue\"\n)\nSELECT \"Revenue\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \"condition_ratio\"\nFROM grouped\nORDER BY \"condition_ratio\" DESC;","notes":"Computes, for each Revenue group, the ratio of rows with Weekend='FALSE' to rows with Weekend='TRUE'. The ratio is NULL when a group has no Weekend='TRUE' rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b0acab8f18b8b35287d2ba16ef93423ff5ecbf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10584, "bytes_utf8": 10584, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 773, "bytes_utf8": 773, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 1751, "reasoning_output_tokens": 1478}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..968c23299958740a8812b82eccca35c1bd83ae55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_10eba8f79ec2507b", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 1751, + "total_tokens": 16724, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28581.48, + "sql_execution_elapsed_ms_total": 40.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f1c57fa4f2b6de2eee432b22ae691e285f32d16c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:23.967065+00:00", + "ended_at": "2026-05-19T15:52:52.548577+00:00", + "elapsed_ms": 28581.48, + "prompt_metrics": { + "chars": 10584, + "bytes_utf8": 10584, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1518, + "bytes_utf8": 1520, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 773, + "bytes_utf8": 773, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 1751, + "reasoning_output_tokens": 1478 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00bae0cca8f4e577eb700231aa84a4dd953f32cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Weekend, measure_col=Informational.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21767bfd65c65acf2d42664b5c0ba532eef041f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40f0-33ae-7cb0-b3ed-a4181a402981"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"I’m mapping the planned percentile template onto SQLite semantics, since `PERCENTILE_CONT` is unavailable. The query will keep the required `Weekend` grouping and use a window-based percentile point over `Informational` cast to numeric."}} +{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Weekend\\\",\\n CAST(\\\"Informational\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Weekend\\\"\\n ORDER BY CAST(\\\"Informational\\\" AS REAL)\\n ) AS \\\"cd\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Weekend\\\" IS NOT NULL\\n AND \\\"Informational\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Weekend\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cd\\\" >= 0.9\\nGROUP BY \\\"Weekend\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the grouped 90th-percentile point for \\\"Informational\\\" by \\\"Weekend\\\". \\\"Informational\\\" is cast from TEXT to REAL for numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14973,"cached_input_tokens":13696,"output_tokens":1751,"reasoning_output_tokens":1478}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..867b98efdf8ca369e9db08758e306a33937ffdaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Weekend\",\n CAST(\"Informational\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"Weekend\"\n ORDER BY CAST(\"Informational\" AS REAL)\n ) AS \"cd\"\n FROM \"m6\"\n WHERE \"Weekend\" IS NOT NULL\n AND \"Informational\" IS NOT NULL\n)\nSELECT\n \"Weekend\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cd\" >= 0.9\nGROUP BY \"Weekend\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the grouped 90th-percentile point for \"Informational\" by \"Weekend\". \"Informational\" is cast from TEXT to REAL for numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_10eba8f79ec2507b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fef46c834b11d0393a8c408dcab6e3320b250f84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10728, "bytes_utf8": 10728, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 521, "bytes_utf8": 521, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15030, "cached_input_tokens": 12032, "output_tokens": 361, "reasoning_output_tokens": 234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1569864d9afa81e03a1002b01ab98ef9abbd6b21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_11d5f0d2df725d51", + "api_calls": 0, + "input_tokens": 15030, + "cached_input_tokens": 12032, + "output_tokens": 361, + "total_tokens": 15391, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11811.53, + "sql_execution_elapsed_ms_total": 12.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..34afa9bf0694d744fbc49bb5012f41b3d6cea59b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:30.877906+00:00", + "ended_at": "2026-05-19T15:42:42.689464+00:00", + "elapsed_ms": 11811.53, + "prompt_metrics": { + "chars": 10728, + "bytes_utf8": 10728, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 888, + "bytes_utf8": 888, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 521, + "bytes_utf8": 521, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15030, + "cached_input_tokens": 12032, + "output_tokens": 361, + "reasoning_output_tokens": 234 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..493d71ac280b2c070fb1152d91c6eff67b4544fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Administrative, group_col_2=SpecialDay.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Administrative", + "group_col_2": "SpecialDay", + "predicate_col": "Informational", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb625a3680ad66d3e73ff216142ab767d6ecbc79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-26eb-7092-8e73-f8fd745c2a4b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Administrative\\\", \\\"SpecialDay\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Informational\\\" AS REAL) >= 0.0\\nGROUP BY \\\"Administrative\\\", \\\"SpecialDay\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"Administrative\\\", group_col_2=\\\"SpecialDay\\\", and predicate_col=\\\"Informational\\\". Applied CAST(... AS REAL) because the schema snapshot stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15030,"cached_input_tokens":12032,"output_tokens":361,"reasoning_output_tokens":234}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af113b665c7f3ec1a9475fec46d645866c0712aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Administrative\", \"SpecialDay\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Informational\" AS REAL) >= 0.0\nGROUP BY \"Administrative\", \"SpecialDay\"\nORDER BY row_count DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"Administrative\", group_col_2=\"SpecialDay\", and predicate_col=\"Informational\". Applied CAST(... AS REAL) because the schema snapshot stores numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5666092f94171ad6a59dcf4095bfa9be988ed678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:26.727815+00:00", + "ended_at": "2026-05-19T16:00:29.768157+00:00", + "elapsed_ms": 3040.32, + "returncode": 1, + "prompt_metrics": { + "chars": 10665, + "bytes_utf8": 10665, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..585bde4c766465328aecded032e97b282a22fbf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:30.769968+00:00", + "ended_at": "2026-05-19T16:00:33.656354+00:00", + "elapsed_ms": 2886.35, + "returncode": 1, + "prompt_metrics": { + "chars": 10665, + "bytes_utf8": 10665, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..205f4ed8396c6164515c953a238de9e816d39d38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Administrative, condition_col=Revenue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Administrative", + "condition_col": "Revenue", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..205f4ed8396c6164515c953a238de9e816d39d38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Administrative, condition_col=Revenue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Administrative", + "condition_col": "Revenue", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3cc8cbe7f4b521d023b212930a82f4bd0157a5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-917e-7583-8c60-bea781aff9c3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f9b8ea330d3b04462dede9d0465fefb98664cfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-917e-7583-8c60-bea781aff9c3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b036b19b498c191e996f40d621a8c53bff864da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-a147-72e0-9d34-f9e95b4b8637"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5c5031b5f70dac655e0f9dbf39586fb2ea94f66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-a147-72e0-9d34-f9e95b4b8637"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13d858b0b9c4b92e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6473de995b5d4ff9001b06735362ba4292fbfd03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:38.744795+00:00", + "ended_at": "2026-05-19T15:59:42.088619+00:00", + "elapsed_ms": 3343.79, + "returncode": 1, + "prompt_metrics": { + "chars": 10679, + "bytes_utf8": 10679, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b47eb840d073864f06590220c6e19eda35d07c32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:43.091198+00:00", + "ended_at": "2026-05-19T15:59:46.174489+00:00", + "elapsed_ms": 3083.24, + "returncode": 1, + "prompt_metrics": { + "chars": 10679, + "bytes_utf8": 10679, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fe3b8a03770bbedbd433f0d2757d7a30e04d214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Weekend, condition_col=VisitorType.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Weekend", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fe3b8a03770bbedbd433f0d2757d7a30e04d214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Weekend, condition_col=VisitorType.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Weekend", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be23ae30ce8108edada70b4f87549948b4a79e9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-d602-7880-beda-80e6a2f14167"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16c403bd3cdbc248143a4400e6cd052d78a8b0e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-d602-7880-beda-80e6a2f14167"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..625943dc10717bc90787433a7b0f9edf533111a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-e714-7533-b13c-f01104c71c4c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b38224e7b6623815bbd69fbf9dd84435d983a10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-e714-7533-b13c-f01104c71c4c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_184a0025d4c035e9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb6befc33e23fcdde708de68165ff956150bf88c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11224, "bytes_utf8": 11224, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 671, "bytes_utf8": 671, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15142, "cached_input_tokens": 12032, "output_tokens": 294, "reasoning_output_tokens": 128}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..30bd7a07e9271d2f54047934aad3c24aac8d6640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_18da336ffd8ba9bf", + "api_calls": 0, + "input_tokens": 15142, + "cached_input_tokens": 12032, + "output_tokens": 294, + "total_tokens": 15436, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12456.45, + "sql_execution_elapsed_ms_total": 8.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2e12d9b925a6cebc113bcae48438c3b3ecf634a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:32.731315+00:00", + "ended_at": "2026-05-19T15:40:45.187791+00:00", + "elapsed_ms": 12456.45, + "prompt_metrics": { + "chars": 11224, + "bytes_utf8": 11224, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1040, + "bytes_utf8": 1040, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 671, + "bytes_utf8": 671, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15142, + "cached_input_tokens": 12032, + "output_tokens": 294, + "reasoning_output_tokens": 128 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2a4b296b82ddea96ff7d1ab3fd0bc9d929a0235 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Administrative, condition_col=Revenue.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Administrative", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e1221b8775c2c21e4627c830c4657275a5db854 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-595b-79c2-938d-6af069875dc0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Administrative\\\",\\n SUM(CASE WHEN \\\"Revenue\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Revenue\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Administrative\\\"\\n)\\nSELECT \\\"Administrative\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the grouped ratio template with group_col=\\\"Administrative\\\" and condition_col=\\\"Revenue\\\", computing FALSE-to-TRUE revenue ratio per Administrative group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15142,"cached_input_tokens":12032,"output_tokens":294,"reasoning_output_tokens":128}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd1210a7d39c19234d04ca5ebb6c5a07bf8c8e36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Administrative\",\n SUM(CASE WHEN \"Revenue\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Revenue\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Administrative\"\n)\nSELECT \"Administrative\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the grouped ratio template with group_col=\"Administrative\" and condition_col=\"Revenue\", computing FALSE-to-TRUE revenue ratio per Administrative group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_18da336ffd8ba9bf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbc36868f74bd5bd5c8ac63e3031c595a8957a74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10829, "bytes_utf8": 10829, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15054, "cached_input_tokens": 13696, "output_tokens": 492, "reasoning_output_tokens": 327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eeff245fed0fb5c5353e2a1c1c47b96140b85faa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_197bcfd76a92d4d0", + "api_calls": 0, + "input_tokens": 15054, + "cached_input_tokens": 13696, + "output_tokens": 492, + "total_tokens": 15546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10147.22, + "sql_execution_elapsed_ms_total": 16.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..29502573a2715f036bfd01f68410de66a66bcdd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:36.043148+00:00", + "ended_at": "2026-05-19T15:35:46.190388+00:00", + "elapsed_ms": 10147.22, + "prompt_metrics": { + "chars": 10829, + "bytes_utf8": 10829, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1043, + "bytes_utf8": 1043, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15054, + "cached_input_tokens": 13696, + "output_tokens": 492, + "reasoning_output_tokens": 327 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3174d219338a6054c2dcb4324312e35c4f1096cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Region, measure_col=Administrative.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Region", + "measure_col": "Administrative", + "item_col": "Informational_Duration", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac798855eaee42e0c10337f4ec810d047e7d6c80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-d28b-7ef1-a4d1-1ae0a938a3d1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Region\\\", \\\"Informational_Duration\\\",\\n SUM(CAST(\\\"Administrative\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Administrative\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative\\\" AS REAL))) OVER (PARTITION BY \\\"Region\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\", \\\"Informational_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"Region\\\", item_col=\\\"Informational_Duration\\\", and measure_col=\\\"Administrative\\\". Cast \\\"Administrative\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15054,"cached_input_tokens":13696,"output_tokens":492,"reasoning_output_tokens":327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..99640c2d4d193b3a2417279a182ce7b83277ac4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Region\", \"Informational_Duration\",\n SUM(CAST(\"Administrative\" AS REAL)) AS total_measure,\n SUM(CAST(\"Administrative\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Administrative\" AS REAL))) OVER (PARTITION BY \"Region\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Region\", \"Informational_Duration\"\nORDER BY share_within_group DESC;","notes":"Applied the planned Within-Group Share of Total template with group_col=\"Region\", item_col=\"Informational_Duration\", and measure_col=\"Administrative\". Cast \"Administrative\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac9543eab7fdb1cbb24da4c2d3cc5f26a8817b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10714, "bytes_utf8": 10714, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 417, "bytes_utf8": 417, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15030, "cached_input_tokens": 13696, "output_tokens": 268, "reasoning_output_tokens": 153}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f6c90031e69547fbd601eaf21c066430ed1f88e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_19fe24aebbc95da4", + "api_calls": 0, + "input_tokens": 15030, + "cached_input_tokens": 13696, + "output_tokens": 268, + "total_tokens": 15298, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7481.5, + "sql_execution_elapsed_ms_total": 6.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f89499c9c3206041844d1e3626ee8084e5e8d3d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:09.631390+00:00", + "ended_at": "2026-05-19T15:41:17.112919+00:00", + "elapsed_ms": 7481.5, + "prompt_metrics": { + "chars": 10714, + "bytes_utf8": 10714, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 784, + "bytes_utf8": 784, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 417, + "bytes_utf8": 417, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15030, + "cached_input_tokens": 13696, + "output_tokens": 268, + "reasoning_output_tokens": 153 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d72a700f87391d9a69869fbea2e9a48b8f30577a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=TrafficType, group_col_2=Weekend.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "Weekend", + "predicate_col": "TrafficType", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b863b79b859186137a9b2614b0e895065120580 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-e990-7cb0-9eac-1c64b3467f82"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"TrafficType\\\", \\\"Weekend\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"TrafficType\\\" AS REAL) >= 4.0\\nGROUP BY \\\"TrafficType\\\", \\\"Weekend\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required template with group_col=\\\"TrafficType\\\", group_col_2=\\\"Weekend\\\", and cast \\\"TrafficType\\\" to REAL in the filter because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15030,"cached_input_tokens":13696,"output_tokens":268,"reasoning_output_tokens":153}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ad8c5f2c5db92da29fee2447f54a62185ee4512 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"TrafficType\", \"Weekend\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"TrafficType\" AS REAL) >= 4.0\nGROUP BY \"TrafficType\", \"Weekend\"\nORDER BY row_count DESC;","notes":"Used the required template with group_col=\"TrafficType\", group_col_2=\"Weekend\", and cast \"TrafficType\" to REAL in the filter because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_19fe24aebbc95da4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8bc916247026368d79ae2c4b8b1ddccc546aea10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10490, "bytes_utf8": 10490, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 422, "bytes_utf8": 422, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 13696, "output_tokens": 312, "reasoning_output_tokens": 201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0776f8c7f91d6b8a00f73bb2217fc0acb62b4443 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_1b8b9458a68597b1", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 312, + "total_tokens": 15260, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8638.66, + "sql_execution_elapsed_ms_total": 24.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5f4fd3dfb9ff18639378881be057755453f6a16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:38.279344+00:00", + "ended_at": "2026-05-19T16:07:46.918035+00:00", + "elapsed_ms": 8638.66, + "prompt_metrics": { + "chars": 10490, + "bytes_utf8": 10490, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 789, + "bytes_utf8": 789, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 422, + "bytes_utf8": 422, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 312, + "reasoning_output_tokens": 201 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b91235d88bc86950d04325ae97c3be43525ea0b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=SpecialDay, measure_col=PageValues.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "PageValues", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ceb1fcacc7aa7ddd34befd45b03c7a9f2384032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-2716-7133-8036-25215ef273b5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"SpecialDay\\\",\\n AVG(CAST(\\\"PageValues\\\" AS REAL)) OVER (PARTITION BY \\\"SpecialDay\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m6\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the provided Window Partition Average template with group_col=\\\"SpecialDay\\\" and measure_col=\\\"PageValues\\\". Cast \\\"PageValues\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14948,"cached_input_tokens":13696,"output_tokens":312,"reasoning_output_tokens":201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..88a607ec93af7731510df481d9c7efc970260745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"SpecialDay\",\n AVG(CAST(\"PageValues\" AS REAL)) OVER (PARTITION BY \"SpecialDay\") AS \"avg_measure\"\nFROM \"m6\"\nORDER BY \"avg_measure\" DESC;","notes":"Used the provided Window Partition Average template with group_col=\"SpecialDay\" and measure_col=\"PageValues\". Cast \"PageValues\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1b8b9458a68597b1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24ea41c0bfc86b47e357aad9cb98e97a113c4b74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10650, "bytes_utf8": 10650, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10650, "bytes_utf8": 10650, "lines": 315, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14994, "cached_input_tokens": 12032, "output_tokens": 328, "reasoning_output_tokens": 228}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..33a5a2142778723548777f08405d061002b53bac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_1e24eb96b29e4309", + "api_calls": 0, + "input_tokens": 14994, + "cached_input_tokens": 12032, + "output_tokens": 328, + "total_tokens": 15322, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12473.09, + "sql_execution_elapsed_ms_total": 10.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82af44eb1f999a18b515d4557d4a9c42e44fc9d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:02.520987+00:00", + "ended_at": "2026-05-19T16:00:05.390801+00:00", + "elapsed_ms": 2869.78, + "returncode": 1, + "prompt_metrics": { + "chars": 10650, + "bytes_utf8": 10650, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5d83198f392340a7cac45891948c605afe3beb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:06.393032+00:00", + "ended_at": "2026-05-19T16:00:15.996397+00:00", + "elapsed_ms": 9603.31, + "prompt_metrics": { + "chars": 10650, + "bytes_utf8": 10650, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 701, + "bytes_utf8": 701, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 345, + "bytes_utf8": 345, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14994, + "cached_input_tokens": 12032, + "output_tokens": 328, + "reasoning_output_tokens": 228 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17032c107fcb0d586a92b12adb6b52e660c8a74d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Revenue, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Revenue", + "condition_col": "Weekend", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..17032c107fcb0d586a92b12adb6b52e660c8a74d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Revenue, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Revenue", + "condition_col": "Weekend", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fe85ac2e9d799c4768b21a03533cc4b898701ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-32f8-7ca1-9a47-8282c31374ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..839b6d21d4a1dc814cbc085076e8b9fb0263d805 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-32f8-7ca1-9a47-8282c31374ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..41e355d2d9fb519124096a02f1c0f5d6374aebf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-4216-7233-b795-a49eca625e76"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Revenue\\\",\\n AVG(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1.0 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Revenue\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Groups rows by \\\"Revenue\\\" and computes the rate of records where \\\"Weekend\\\" is 'TRUE' within each revenue group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14994,"cached_input_tokens":12032,"output_tokens":328,"reasoning_output_tokens":228}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b8bba8097cdd38b090dec790ee1aadb836fcb44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT\n \"Revenue\",\n AVG(CASE WHEN \"Weekend\" = 'TRUE' THEN 1.0 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"Revenue\"\nORDER BY condition_rate DESC;","notes":"Groups rows by \"Revenue\" and computes the rate of records where \"Weekend\" is 'TRUE' within each revenue group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d3b233663ffb9e31c508f174eaa0a1f891858707 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10405, "bytes_utf8": 10405, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 337, "bytes_utf8": 337, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14936, "cached_input_tokens": 12032, "output_tokens": 283, "reasoning_output_tokens": 192}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ccac4190f46340722cc1bb29de78373459e7776 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_1e5e7a862d5a8989", + "api_calls": 0, + "input_tokens": 14936, + "cached_input_tokens": 12032, + "output_tokens": 283, + "total_tokens": 15219, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16708.27, + "sql_execution_elapsed_ms_total": 13.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb60d11dace3774b8304e1d1134ce38badb995c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:33.679840+00:00", + "ended_at": "2026-05-19T15:30:50.388145+00:00", + "elapsed_ms": 16708.27, + "prompt_metrics": { + "chars": 10405, + "bytes_utf8": 10405, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1357, + "bytes_utf8": 1357, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 337, + "bytes_utf8": 337, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14936, + "cached_input_tokens": 12032, + "output_tokens": 283, + "reasoning_output_tokens": 192 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bf24282c823393f063191f869e1c76075f03c49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Region, measure_col=BounceRates.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Region", + "measure_col": "BounceRates", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6ba867ea97be35ba75670f134123f778168c4dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dc-355b-7be2-86ca-d4ca6da24fa8"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15571. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999823, Requested 15571. Please try again in 461ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Region\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with \\\"Region\\\" as the grouping column and cast \\\"BounceRates\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14936,"cached_input_tokens":12032,"output_tokens":283,"reasoning_output_tokens":192}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0b054bc82284901e4fb441c49e8cacc65cc1021 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Region\", SUM(CAST(\"BounceRates\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Region\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with \"Region\" as the grouping column and cast \"BounceRates\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e5e7a862d5a8989/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f66763dc2891073e99139630f89cc5233961a1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:48.782399+00:00", + "ended_at": "2026-05-19T16:06:51.652959+00:00", + "elapsed_ms": 2870.53, + "returncode": 1, + "prompt_metrics": { + "chars": 10505, + "bytes_utf8": 10505, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..11a3a5bd586c9984297e022f0e71351ead70eae0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:52.655151+00:00", + "ended_at": "2026-05-19T16:06:55.502311+00:00", + "elapsed_ms": 2847.12, + "returncode": 1, + "prompt_metrics": { + "chars": 10505, + "bytes_utf8": 10505, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..146087b506f9cd3e39097261eac52839a0213c78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Administrative, measure_col=BounceRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Administrative", + "measure_col": "BounceRates", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..146087b506f9cd3e39097261eac52839a0213c78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Administrative, measure_col=BounceRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Administrative", + "measure_col": "BounceRates", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8652822cf1afdb9b3bc847ee5adde6e72ce36cef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-65eb-75e0-87b0-8eb3d8836211"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..71e0ca77c99fbe6fb02598b51e11b8e9cccbc93d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-65eb-75e0-87b0-8eb3d8836211"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c2649debf8584413138b8674a59be21ac189edc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-750b-7e13-831b-3966e7c99677"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6862194938113edfb48340a6b4d361e950b760f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-750b-7e13-831b-3966e7c99677"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1f8dd8737888d18d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3dda9984da47e3070b7de833eefffab85db22c9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10838, "bytes_utf8": 10838, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 13696, "output_tokens": 688, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..076e60155b2c4698a86af442648753943f8c4062 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_20323614aba6894c", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 13696, + "output_tokens": 688, + "total_tokens": 15746, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14568.03, + "sql_execution_elapsed_ms_total": 15.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a7f2de942823796b30258f15ff4b59974611d74a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:08.881187+00:00", + "ended_at": "2026-05-19T15:37:23.449238+00:00", + "elapsed_ms": 14568.03, + "prompt_metrics": { + "chars": 10838, + "bytes_utf8": 10838, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1051, + "bytes_utf8": 1051, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15058, + "cached_input_tokens": 13696, + "output_tokens": 688, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d428d935a2231fc400f93b8591b8c3b28844c15d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Weekend, measure_col=Informational_Duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational_Duration", + "item_col": "BounceRates", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e8f8e6b7199147987d523e469fa2dede43c7cef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-3d0d-7652-be25-c13ec84423da"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Weekend\\\", \\\"BounceRates\\\",\\n SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"Weekend\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Weekend\\\", \\\"BounceRates\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the required template with group_col=\\\"Weekend\\\", item_col=\\\"BounceRates\\\", and measure_col=\\\"Informational_Duration\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15058,"cached_input_tokens":13696,"output_tokens":688,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bacc28fa25e601011ad51c8679ac80d9cd37b7fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Weekend\", \"BounceRates\",\n SUM(CAST(\"Informational_Duration\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"Informational_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Informational_Duration\" AS REAL))) OVER (PARTITION BY \"Weekend\") AS \"share_within_group\"\nFROM \"m6\"\nGROUP BY \"Weekend\", \"BounceRates\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the required template with group_col=\"Weekend\", item_col=\"BounceRates\", and measure_col=\"Informational_Duration\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_20323614aba6894c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b35f44600020f460b3a789ffb7b77eec86fb584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10317, "bytes_utf8": 10317, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 294, "bytes_utf8": 294, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14910, "cached_input_tokens": 12032, "output_tokens": 274, "reasoning_output_tokens": 202}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c910fe49e7c04a142d1dffffa6823d9da065f9fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_211988cc33032976", + "api_calls": 0, + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 274, + "total_tokens": 15184, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16466.13, + "sql_execution_elapsed_ms_total": 8.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba39543fa743b1800387ca92aa62f188a944496f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:50.873695+00:00", + "ended_at": "2026-05-19T15:32:07.339863+00:00", + "elapsed_ms": 16466.13, + "prompt_metrics": { + "chars": 10317, + "bytes_utf8": 10317, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1306, + "bytes_utf8": 1306, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 294, + "bytes_utf8": 294, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 274, + "reasoning_output_tokens": 202 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f3eeb921f9888720ab0c274fda120e078002a06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Informational.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Informational", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2847ad9871f206ee441b34d93e6a56a799907c24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dd-62ef-7541-9ea1-ddb687d38635"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15545. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15545. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Informational\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by \\\"Informational\\\" using the planned category-count template to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14910,"cached_input_tokens":12032,"output_tokens":274,"reasoning_output_tokens":202}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b9bc4c31d69cb30c8b550adddf1a617ed87127a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Informational\", COUNT(*) AS row_count\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY row_count DESC;","notes":"Grouped count by \"Informational\" using the planned category-count template to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_211988cc33032976/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ebbeb5b6a53a62e6f2903b30f1f5eb68d195d0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10320, "bytes_utf8": 10320, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 286, "bytes_utf8": 286, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14912, "cached_input_tokens": 12032, "output_tokens": 260, "reasoning_output_tokens": 183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c2a2489b299e66ed02b6247f4093b1f4759023a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2382ceab90bec709", + "api_calls": 0, + "input_tokens": 14912, + "cached_input_tokens": 12032, + "output_tokens": 260, + "total_tokens": 15172, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15776.21, + "sql_execution_elapsed_ms_total": 5.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8cbee22db2ade1428f3689a669bd55f1d6120aef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:27.846184+00:00", + "ended_at": "2026-05-19T15:33:43.622422+00:00", + "elapsed_ms": 15776.21, + "prompt_metrics": { + "chars": 10320, + "bytes_utf8": 10320, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 969, + "bytes_utf8": 969, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 286, + "bytes_utf8": 286, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14912, + "cached_input_tokens": 12032, + "output_tokens": 260, + "reasoning_output_tokens": 183 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..955be61210fba3e1a102f8351bfae096084fb706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=VisitorType.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "VisitorType", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a408d7b1bedb6831a6beef527784c2dd86df9d69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-ddc3-7de1-a8c0-2ad21bc01956"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15547. Please try again in 466ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"VisitorType\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided grouped-count template with group_col bound to VisitorType on the single table m6.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14912,"cached_input_tokens":12032,"output_tokens":260,"reasoning_output_tokens":183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..944ac99d5d83a912d40e7f1d6788adf9c8def349 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"VisitorType\", COUNT(*) AS \"row_count\"\nFROM \"m6\"\nGROUP BY \"VisitorType\"\nORDER BY \"row_count\" DESC;","notes":"Applied the provided grouped-count template with group_col bound to VisitorType on the single table m6."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2382ceab90bec709/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6563f70dea4688a9496d58e261e80cb831131de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10970, "bytes_utf8": 10970, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 717, "bytes_utf8": 717, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15072, "cached_input_tokens": 13696, "output_tokens": 652, "reasoning_output_tokens": 467}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9aa315b43c9b0f42f49983c26fd4b9acffbf9876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_26ffcdfb2f8aa1a2", + "api_calls": 0, + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 652, + "total_tokens": 15724, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13482.58, + "sql_execution_elapsed_ms_total": 11.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b8760a775dfdfd9f946c32ea2dbeb0af5991eb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:04.677355+00:00", + "ended_at": "2026-05-19T15:47:18.159975+00:00", + "elapsed_ms": 13482.58, + "prompt_metrics": { + "chars": 10970, + "bytes_utf8": 10970, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1116, + "bytes_utf8": 1116, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 717, + "bytes_utf8": 717, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 652, + "reasoning_output_tokens": 467 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c8eed54d9fe34440dc1c9458c1d62d5622ecb2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Administrative, measure_col=ExitRates.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Administrative", + "measure_col": "ExitRates", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fa9bdce0cff8d63b78dc9c462b01d13ed9260e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-547c-7152-b038-24a37cda95d7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT CAST(\\\"Administrative\\\" AS INTEGER) AS \\\"Administrative\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m6\\\"\\n GROUP BY CAST(\\\"Administrative\\\" AS INTEGER)\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"Administrative\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested template with group_col=\\\"Administrative\\\" and measure_col=\\\"ExitRates\\\". Casts were added because both columns are stored as TEXT in the SQLite snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15072,"cached_input_tokens":13696,"output_tokens":652,"reasoning_output_tokens":467}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bee6c86036d2a4c77143c2e670ca55ffec726a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT CAST(\"Administrative\" AS INTEGER) AS \"Administrative\", SUM(CAST(\"ExitRates\" AS REAL)) AS \"group_value\"\n FROM \"m6\"\n GROUP BY CAST(\"Administrative\" AS INTEGER)\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"Administrative\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Used the requested template with group_col=\"Administrative\" and measure_col=\"ExitRates\". Casts were added because both columns are stored as TEXT in the SQLite snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_26ffcdfb2f8aa1a2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b53a1a9be1fe7e0f4d42035636448c7227b9bee1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10965, "bytes_utf8": 10965, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 692, "bytes_utf8": 692, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 12032, "output_tokens": 691, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..28371117f77ccde7f9038165e2a56fef17f82ae0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2c0877922573f15c", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 691, + "total_tokens": 15764, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18163.53, + "sql_execution_elapsed_ms_total": 9.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9a1af82776797cc062aca3a5f6837b715529795c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:18.178972+00:00", + "ended_at": "2026-05-19T15:47:36.342577+00:00", + "elapsed_ms": 18163.53, + "prompt_metrics": { + "chars": 10965, + "bytes_utf8": 10965, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1063, + "bytes_utf8": 1063, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 692, + "bytes_utf8": 692, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 691, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1846274d4c0a56d6dfe25f79e5f642fc22f24d42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Informational, measure_col=PageValues.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Informational", + "measure_col": "PageValues", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..228feca7d80e0f133289dd7cc1e2fca05d4160dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-8998-73f1-a23f-fc3bf5f1fa65"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Informational\\\", SUM(CAST(\\\"PageValues\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Informational\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Informational\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"Informational\\\" and measure_col=\\\"PageValues\\\". CAST(\\\"PageValues\\\" AS REAL) is used because the schema stores numeric-looking values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15073,"cached_input_tokens":12032,"output_tokens":691,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a0c00b3630eb983f662fe7c0ce4ce60fb485940 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Informational\", SUM(CAST(\"PageValues\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"Informational\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Informational\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\"Informational\" and measure_col=\"PageValues\". CAST(\"PageValues\" AS REAL) is used because the schema stores numeric-looking values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2c0877922573f15c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9fc105cdb8f612c44cd70681d9f3f47285a7cd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10622, "bytes_utf8": 10622, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10622, "bytes_utf8": 10622, "lines": 312, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1254, "bytes_utf8": 1254, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14981, "cached_input_tokens": 13696, "output_tokens": 880, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b881081c674d9064e2e6e1c48abf1982d4e2b5ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2da9eb778c3f2325", + "api_calls": 0, + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 880, + "total_tokens": 15861, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21904.55, + "sql_execution_elapsed_ms_total": 65.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a6d14d32b004867fe73c40d17a8fa347e66f8f9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:18.570932+00:00", + "ended_at": "2026-05-19T15:55:21.869458+00:00", + "elapsed_ms": 3298.5, + "returncode": 1, + "prompt_metrics": { + "chars": 10622, + "bytes_utf8": 10622, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cba2577d62c864f80e8f2bab48e1092c07991c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:22.871215+00:00", + "ended_at": "2026-05-19T15:55:41.477304+00:00", + "elapsed_ms": 18606.05, + "prompt_metrics": { + "chars": 10622, + "bytes_utf8": 10622, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1742, + "bytes_utf8": 1742, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1254, + "bytes_utf8": 1254, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 880, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0980b6371d5646f4c47a13946235e142adb3e02d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Informational", + "measure_col": "ProductRelated_Duration", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0980b6371d5646f4c47a13946235e142adb3e02d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Informational", + "measure_col": "ProductRelated_Duration", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3343b1774703910d1bce8f392a057f7819602d7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-ddd4-7923-8a4c-6c678fc83984"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef99ef3f510c63f6b70c6b7f31da0089c9996c01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-ddd4-7923-8a4c-6c678fc83984"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..939099f3cc299d57d3152bbeb224d7560ad12b94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-ee94-7272-b299-3b79f5bf62f1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n CAST(\\\"ProductRelated_Duration\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Informational\\\"\\n ORDER BY CAST(\\\"ProductRelated_Duration\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Informational\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Informational\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n \\\"measure_value\\\",\\n \\\"cnt\\\",\\n CASE\\n WHEN (\\\"cnt\\\" * 0.9) > CAST(\\\"cnt\\\" * 0.9 AS INTEGER)\\n THEN CAST(\\\"cnt\\\" * 0.9 AS INTEGER) + 1\\n ELSE CAST(\\\"cnt\\\" * 0.9 AS INTEGER)\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"Informational\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation of the 90th percentile within each \\\"Informational\\\" group, casting \\\"ProductRelated_Duration\\\" from TEXT to REAL and keeping only groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14981,"cached_input_tokens":13696,"output_tokens":880,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..445e2054c97d7e44958e362b38b5cb74105856c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Informational\",\n CAST(\"ProductRelated_Duration\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Informational\"\n ORDER BY CAST(\"ProductRelated_Duration\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Informational\"\n ) AS \"cnt\"\n FROM \"m6\"\n WHERE \"Informational\" IS NOT NULL\n AND \"ProductRelated_Duration\" IS NOT NULL\n),\n\"picked\" AS (\n SELECT\n \"Informational\",\n \"measure_value\",\n \"cnt\",\n CASE\n WHEN (\"cnt\" * 0.9) > CAST(\"cnt\" * 0.9 AS INTEGER)\n THEN CAST(\"cnt\" * 0.9 AS INTEGER) + 1\n ELSE CAST(\"cnt\" * 0.9 AS INTEGER)\n END AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"Informational\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\n AND \"rn\" = \"target_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation of the 90th percentile within each \"Informational\" group, casting \"ProductRelated_Duration\" from TEXT to REAL and keeping only groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2da9eb778c3f2325/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de599432ba56e53cefc67d42ab575362f1f75c04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10717, "bytes_utf8": 10717, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15031, "cached_input_tokens": 13696, "output_tokens": 494, "reasoning_output_tokens": 384}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e6f4012cbc40788d6a8a38d072caa1e1da9e9250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2efadebe21efebe4", + "api_calls": 0, + "input_tokens": 15031, + "cached_input_tokens": 13696, + "output_tokens": 494, + "total_tokens": 15525, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14151.01, + "sql_execution_elapsed_ms_total": 3.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ec882f6a158443c59908ece8d3f00f972e0ee92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:55.472259+00:00", + "ended_at": "2026-05-19T15:41:09.623292+00:00", + "elapsed_ms": 14151.01, + "prompt_metrics": { + "chars": 10717, + "bytes_utf8": 10717, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 787, + "bytes_utf8": 787, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 432, + "bytes_utf8": 432, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15031, + "cached_input_tokens": 13696, + "output_tokens": 494, + "reasoning_output_tokens": 384 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6276605188004841112ff01ba83e24c2e3f8f850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=TrafficType, group_col_2=VisitorType.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "VisitorType", + "predicate_col": "Region", + "predicate_op": ">=", + "predicate_value": 4.0, + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c07d27cfcbc3e4c2f50b730e40808f6d08c1e2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-b22d-7313-bc79-885226b68584"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"TrafficType\\\", \\\"VisitorType\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Region\\\" AS REAL) >= 4.0\\nGROUP BY \\\"TrafficType\\\", \\\"VisitorType\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Filled the planned filtered two-dimensional group count template with TrafficType and VisitorType, and cast Region to REAL because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15031,"cached_input_tokens":13696,"output_tokens":494,"reasoning_output_tokens":384}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0fa15e1dd13aa3aaac0ed2e89344ec5c37635f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"TrafficType\", \"VisitorType\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Region\" AS REAL) >= 4.0\nGROUP BY \"TrafficType\", \"VisitorType\"\nORDER BY row_count DESC;","notes":"Filled the planned filtered two-dimensional group count template with TrafficType and VisitorType, and cast Region to REAL because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2efadebe21efebe4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2679af6fd78bd6d605c1c0ccf428fda8c27d8d67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10594, "bytes_utf8": 10594, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1775, "bytes_utf8": 1775, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 1089, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a84ebfa84f4365f2b2997832a8bdb49a33d3c564 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2f2613f89ad50c37", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 1089, + "total_tokens": 16062, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17477.61, + "sql_execution_elapsed_ms_total": 68.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6cbddb223736c57aae49dce05bf9b39364f77c2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:48.820255+00:00", + "ended_at": "2026-05-19T15:51:06.297899+00:00", + "elapsed_ms": 17477.61, + "prompt_metrics": { + "chars": 10594, + "bytes_utf8": 10594, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2340, + "bytes_utf8": 2340, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1775, + "bytes_utf8": 1775, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 1089, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..096e7675d60e1ee8f7e0a870e56b1f7c5c55e629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=TrafficType, measure_col=Administrative.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f6f8b0449a63038a09806dd1b5a7a4a6d009aa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-c011-7f41-aeda-a40c8b5d97af"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"TrafficType\\\" AS \\\"TrafficType\\\",\\n CAST(NULLIF(\\\"Administrative\\\", '') AS REAL) AS \\\"Administrative_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"TrafficType\\\"\\n ORDER BY CAST(NULLIF(\\\"Administrative\\\", '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"TrafficType\\\") AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE NULLIF(\\\"Administrative\\\", '') IS NOT NULL\\n AND NULLIF(\\\"TrafficType\\\", '') IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"TrafficType\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"pos\\\",\\n CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.9) + 1.0) = CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n THEN CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n ELSE CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n p.\\\"TrafficType\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"Administrative_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"Administrative_value\\\" END) * (p.\\\"upper_rn\\\" - p.\\\"pos\\\") +\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"Administrative_value\\\" END) * (p.\\\"pos\\\" - p.\\\"lower_rn\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS p\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"TrafficType\\\" = p.\\\"TrafficType\\\"\\nGROUP BY p.\\\"TrafficType\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 continuous percentile per \\\"TrafficType\\\" using window functions and linear interpolation over CAST(\\\"Administrative\\\" AS REAL).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14973,"cached_input_tokens":13696,"output_tokens":1089,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..18aeae13682ec803d0bb6e3a8a10714abf86a271 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"TrafficType\" AS \"TrafficType\",\n CAST(NULLIF(\"Administrative\", '') AS REAL) AS \"Administrative_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"TrafficType\"\n ORDER BY CAST(NULLIF(\"Administrative\", '') AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"TrafficType\") AS \"cnt\"\n FROM \"m6\"\n WHERE NULLIF(\"Administrative\", '') IS NOT NULL\n AND NULLIF(\"TrafficType\", '') IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"TrafficType\",\n ((\"cnt\" - 1) * 0.9) + 1.0 AS \"pos\",\n CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (((\"cnt\" - 1) * 0.9) + 1.0) = CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER)\n THEN CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER)\n ELSE CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n)\nSELECT\n p.\"TrafficType\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"Administrative_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"Administrative_value\" END) * (p.\"upper_rn\" - p.\"pos\") +\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"Administrative_value\" END) * (p.\"pos\" - p.\"lower_rn\")\n END AS \"percentile_measure\"\nFROM \"positions\" AS p\nJOIN \"ordered\" AS o\n ON o.\"TrafficType\" = p.\"TrafficType\"\nGROUP BY p.\"TrafficType\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the 0.9 continuous percentile per \"TrafficType\" using window functions and linear interpolation over CAST(\"Administrative\" AS REAL)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2f2613f89ad50c37/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98571b6fe081c82c91c9c688aa8e8589e107b47d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10347, "bytes_utf8": 10347, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 355, "bytes_utf8": 355, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14926, "cached_input_tokens": 12032, "output_tokens": 347, "reasoning_output_tokens": 245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b056f5f7055776acacbb93468ecf3af638809c01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_2ff8d0fccb83e676", + "api_calls": 0, + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 347, + "total_tokens": 15273, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9738.25, + "sql_execution_elapsed_ms_total": 3.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..310e60977a1f734f8afb231e0fe695efcf1f9162 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:05.848002+00:00", + "ended_at": "2026-05-19T16:04:15.586301+00:00", + "elapsed_ms": 9738.25, + "prompt_metrics": { + "chars": 10347, + "bytes_utf8": 10347, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 699, + "bytes_utf8": 699, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 355, + "bytes_utf8": 355, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 347, + "reasoning_output_tokens": 245 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e059ef5e93d47b35faa3f7952e6d63d6311b90d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ProductRelated.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ProductRelated", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..190021958bd1c203efda58464a439c6f83bc0908 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-e96c-7a41-8888-25f5a35281a8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"ProductRelated\\\" AS REAL) <= 38.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\",\"notes\":\"Uses the Threshold Rarity CDF template with measure_col bound to \\\"ProductRelated\\\" and casts the TEXT column to REAL so the 38.0 threshold is compared numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14926,"cached_input_tokens":12032,"output_tokens":347,"reasoning_output_tokens":245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a1c3c0156aae1a909292e4ec293af2d1cd27546 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"ProductRelated\" AS REAL) <= 38.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m6\";","notes":"Uses the Threshold Rarity CDF template with measure_col bound to \"ProductRelated\" and casts the TEXT column to REAL so the 38.0 threshold is compared numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_2ff8d0fccb83e676/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e2790e04d00c86ab6d699a508e1ea382712535f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10660, "bytes_utf8": 10660, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10660, "bytes_utf8": 10660, "lines": 315, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 532, "bytes_utf8": 532, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14999, "cached_input_tokens": 12032, "output_tokens": 511, "reasoning_output_tokens": 382}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7e031f2502d64665c4814fe142fbe5117924224d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_30106cbc1a9c951a", + "api_calls": 0, + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 511, + "total_tokens": 15510, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14304.4, + "sql_execution_elapsed_ms_total": 6.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b0eac8718df61c16d3ee8895e1a62525ea8fd42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:15.634140+00:00", + "ended_at": "2026-05-19T16:01:18.882184+00:00", + "elapsed_ms": 3248.02, + "returncode": 1, + "prompt_metrics": { + "chars": 10660, + "bytes_utf8": 10660, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a26293d07f6b1ded646b44bd41c323d01f514f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:19.884943+00:00", + "ended_at": "2026-05-19T16:01:30.941375+00:00", + "elapsed_ms": 11056.38, + "prompt_metrics": { + "chars": 10660, + "bytes_utf8": 10660, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 895, + "bytes_utf8": 895, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 532, + "bytes_utf8": 532, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 511, + "reasoning_output_tokens": 382 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31c6fcb5b994c1b768992895bfa2471617955915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=SpecialDay, condition_col=OperatingSystems.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "SpecialDay", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..31c6fcb5b994c1b768992895bfa2471617955915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=SpecialDay, condition_col=OperatingSystems.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "SpecialDay", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c99bf88c46ef76f7b24eeb0ac6500fc6ab563416 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-506c-72e3-9998-7cf64fc8525c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6acc65cf305d6c5ca9ed5b8d967c4b1054bc0d1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-506c-72e3-9998-7cf64fc8525c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a101a3c5f9237ca8f92067124302ba25eecfc3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6114-7b43-8774-072020af3c0e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"SpecialDay\\\",\\n AVG(CASE WHEN \\\"OperatingSystems\\\" = '1' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"SpecialDay\\\" and condition_col=\\\"OperatingSystems\\\", comparing against the bound condition_value '1'. The comparison uses a text literal because the schema snapshot shows these columns are stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14999,"cached_input_tokens":12032,"output_tokens":511,"reasoning_output_tokens":382}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f95ce5753e9dae615dc476e1aaebc14e0036f580 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"SpecialDay\",\n AVG(CASE WHEN \"OperatingSystems\" = '1' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"SpecialDay\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col=\"SpecialDay\" and condition_col=\"OperatingSystems\", comparing against the bound condition_value '1'. The comparison uses a text literal because the schema snapshot shows these columns are stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30106cbc1a9c951a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e439e363a009acad5ff6962b6ab652ae9a0f0b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10825, "bytes_utf8": 10825, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15053, "cached_input_tokens": 13696, "output_tokens": 668, "reasoning_output_tokens": 504}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ea33e461a6659f9fcb2ee6df443ac64742f0f0eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_30b8f4ce048154d9", + "api_calls": 0, + "input_tokens": 15053, + "cached_input_tokens": 13696, + "output_tokens": 668, + "total_tokens": 15721, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14594.73, + "sql_execution_elapsed_ms_total": 9.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e367087fbae99325b80d15affa9a59d0788e0b37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:36.602225+00:00", + "ended_at": "2026-05-19T15:34:51.197082+00:00", + "elapsed_ms": 14594.73, + "prompt_metrics": { + "chars": 10825, + "bytes_utf8": 10825, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1017, + "bytes_utf8": 1017, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 630, + "bytes_utf8": 630, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15053, + "cached_input_tokens": 13696, + "output_tokens": 668, + "reasoning_output_tokens": 504 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0fb32522ce64e354d9425664068702b12f1ded1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=OperatingSystems, measure_col=Region.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Region", + "item_col": "Administrative", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf9a0bb12d35ac4e8ed7c359fa3397b40c83d57e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-ea38-74d0-9b42-ddfdc0fbf454"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"OperatingSystems\\\",\\n \\\"Administrative\\\",\\n SUM(CAST(\\\"Region\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Region\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"Region\\\" AS REAL))) OVER (PARTITION BY \\\"OperatingSystems\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\", \\\"Administrative\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"OperatingSystems\\\", item_col=\\\"Administrative\\\", and measure_col=\\\"Region\\\". CAST(\\\"Region\\\" AS REAL) is applied because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15053,"cached_input_tokens":13696,"output_tokens":668,"reasoning_output_tokens":504}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d85bd9ecba195d51723fa46ed1d6949a4dd3657e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"OperatingSystems\",\n \"Administrative\",\n SUM(CAST(\"Region\" AS REAL)) AS total_measure,\n SUM(CAST(\"Region\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"Region\" AS REAL))) OVER (PARTITION BY \"OperatingSystems\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"OperatingSystems\", \"Administrative\"\nORDER BY share_within_group DESC;","notes":"Used the planned template with group_col=\"OperatingSystems\", item_col=\"Administrative\", and measure_col=\"Region\". CAST(\"Region\" AS REAL) is applied because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_30b8f4ce048154d9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3f1454e08d062309bb57a1c911fecdf213fe764 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:53.985688+00:00", + "ended_at": "2026-05-19T16:08:58.270707+00:00", + "elapsed_ms": 4284.99, + "returncode": 1, + "prompt_metrics": { + "chars": 10495, + "bytes_utf8": 10495, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9348d9bc0326444fe563fa9b3c5936aab265e4bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:59.272433+00:00", + "ended_at": "2026-05-19T16:09:02.591908+00:00", + "elapsed_ms": 3319.44, + "returncode": 1, + "prompt_metrics": { + "chars": 10495, + "bytes_utf8": 10495, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e74dd518b125fa00085e9dfd13290c7f84e534c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=TrafficType, measure_col=TrafficType.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "TrafficType", + "measure_col": "TrafficType", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e74dd518b125fa00085e9dfd13290c7f84e534c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=TrafficType, measure_col=TrafficType.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "TrafficType", + "measure_col": "TrafficType", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0417291ec27ccf1712ea0db185d27c03fa28e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-4eeb-7ae2-ae12-7636a6c4e151"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8926eacd9f84f4c847dd9287eb80179144bc48a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-4eeb-7ae2-ae12-7636a6c4e151"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f114e5cb03c61aac0b1974ddcc8e8e5bd63a108b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-63b5-7fd1-ac48-002aa126da95"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef6698fbf496478a0eb86282274f21b463d569ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-63b5-7fd1-ac48-002aa126da95"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_32d0da2c959865e7/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05479a69783121f2c014f26b58ae36984be516c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10748, "bytes_utf8": 10748, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 550, "bytes_utf8": 550, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15032, "cached_input_tokens": 13696, "output_tokens": 438, "reasoning_output_tokens": 310}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6002c243c746500e601876f456a3c75a3b533d8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_381f866c02590ad9", + "api_calls": 0, + "input_tokens": 15032, + "cached_input_tokens": 13696, + "output_tokens": 438, + "total_tokens": 15470, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12816.89, + "sql_execution_elapsed_ms_total": 4.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..753ffb6280086a6e702ead6d1d8cf087fd09fd49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:18.052624+00:00", + "ended_at": "2026-05-19T15:42:30.869566+00:00", + "elapsed_ms": 12816.89, + "prompt_metrics": { + "chars": 10748, + "bytes_utf8": 10748, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 917, + "bytes_utf8": 917, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 550, + "bytes_utf8": 550, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15032, + "cached_input_tokens": 13696, + "output_tokens": 438, + "reasoning_output_tokens": 310 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7c98200c06a33d0e8ff502b608f4ab3322e64b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Administrative, group_col_2=Informational.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Administrative", + "group_col_2": "Informational", + "predicate_col": "Administrative_Duration", + "predicate_op": ">=", + "predicate_value": 93.25625, + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c49d41915f3e8b4630dac2456898d2fd145e21dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-f4cd-7f61-a324-68fc01dbeee8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Administrative\\\", \\\"Informational\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Administrative_Duration\\\" AS REAL) >= 93.25625\\nGROUP BY \\\"Administrative\\\", \\\"Informational\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with group_col=\\\"Administrative\\\", group_col_2=\\\"Informational\\\", and predicate on \\\"Administrative_Duration\\\". Cast the predicate column to REAL because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15032,"cached_input_tokens":13696,"output_tokens":438,"reasoning_output_tokens":310}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..637bdbd3940a2a76e83ac16aac7e83ef5f9c704a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Administrative\", \"Informational\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Administrative_Duration\" AS REAL) >= 93.25625\nGROUP BY \"Administrative\", \"Informational\"\nORDER BY row_count DESC;","notes":"Used the planned filtered two-dimensional group count template with group_col=\"Administrative\", group_col_2=\"Informational\", and predicate on \"Administrative_Duration\". Cast the predicate column to REAL because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_381f866c02590ad9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ea5888c0ca1aeaeb53aad87f42dbc15fabae149d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:27.700371+00:00", + "ended_at": "2026-05-19T15:57:30.572393+00:00", + "elapsed_ms": 2872.0, + "returncode": 1, + "prompt_metrics": { + "chars": 10577, + "bytes_utf8": 10577, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f030ef7c1686acc87e84fd8ed12d7eebbb55585f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:31.574614+00:00", + "ended_at": "2026-05-19T15:57:34.811072+00:00", + "elapsed_ms": 3236.41, + "returncode": 1, + "prompt_metrics": { + "chars": 10577, + "bytes_utf8": 10577, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..462ccf9345527644bbb5a65916142b3d8dee8f10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Month, measure_col=ExitRates.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Month", + "measure_col": "ExitRates", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..462ccf9345527644bbb5a65916142b3d8dee8f10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Month, measure_col=ExitRates.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Month", + "measure_col": "ExitRates", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c9488c6e259731ec2113db97732353917d21a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-d620-7963-afff-868dbc8e4bc1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f5591ebada739b92929ee1917c4f192b2555890 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-d620-7963-afff-868dbc8e4bc1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..efbf5f517dc85a3181f849fe368eb5f719a303ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-e54c-7d71-bcc7-f4ad2d13d317"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f05f1a9885317ff478a9e7ed5ed6ef7f5f17072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-e54c-7d71-bcc7-f4ad2d13d317"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3f0332143dcfa837/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..83a48247f31967774620b0a240fce53dd3e9974d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10835, "bytes_utf8": 10835, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 802, "bytes_utf8": 802, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15057, "cached_input_tokens": 13696, "output_tokens": 721, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0cab63e0c97843521846d2345b97ba0e74a18eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_3fe756452bbfbbbc", + "api_calls": 0, + "input_tokens": 15057, + "cached_input_tokens": 13696, + "output_tokens": 721, + "total_tokens": 15778, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14787.75, + "sql_execution_elapsed_ms_total": 37.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..88510e9fc481a4bf0190492576bb9bda2433af32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:39.430463+00:00", + "ended_at": "2026-05-19T15:36:54.218243+00:00", + "elapsed_ms": 14787.75, + "prompt_metrics": { + "chars": 10835, + "bytes_utf8": 10835, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1197, + "bytes_utf8": 1197, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 802, + "bytes_utf8": 802, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15057, + "cached_input_tokens": 13696, + "output_tokens": 721, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..271bd8dc26c97c4960f36b50e4911ca2fd4e8e97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=VisitorType, measure_col=Informational.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Informational", + "item_col": "ProductRelated_Duration", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c7f639a6920659c4174cb53f2b513382119f3af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-ca27-79b3-ab40-0ce23e909533"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\",\\n SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Informational\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational\\\" AS REAL))) OVER (PARTITION BY \\\"VisitorType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"VisitorType\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n AND \\\"Informational\\\" IS NOT NULL\\nGROUP BY \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested Within-Group Share of Total template with group_col=\\\"VisitorType\\\", item_col=\\\"ProductRelated_Duration\\\", and measure_col=\\\"Informational\\\". CAST to REAL is included because the schema stores these fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15057,"cached_input_tokens":13696,"output_tokens":721,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..97cd405f6dacddddc94e5ade94fc4cee5bbe63cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"VisitorType\", \"ProductRelated_Duration\",\n SUM(CAST(\"Informational\" AS REAL)) AS total_measure,\n SUM(CAST(\"Informational\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Informational\" AS REAL))) OVER (PARTITION BY \"VisitorType\") AS share_within_group\nFROM \"m6\"\nWHERE \"VisitorType\" IS NOT NULL\n AND \"ProductRelated_Duration\" IS NOT NULL\n AND \"Informational\" IS NOT NULL\nGROUP BY \"VisitorType\", \"ProductRelated_Duration\"\nORDER BY share_within_group DESC;","notes":"Uses the requested Within-Group Share of Total template with group_col=\"VisitorType\", item_col=\"ProductRelated_Duration\", and measure_col=\"Informational\". CAST to REAL is included because the schema stores these fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_3fe756452bbfbbbc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..53f95bea0ad70dc0a6496c86a8c40d8de70869d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:46.947211+00:00", + "ended_at": "2026-05-19T16:07:50.303156+00:00", + "elapsed_ms": 3355.92, + "returncode": 1, + "prompt_metrics": { + "chars": 10476, + "bytes_utf8": 10476, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6552ce7c8837a8bae6c9fa10905695261790547d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:51.304735+00:00", + "ended_at": "2026-05-19T16:07:54.258665+00:00", + "elapsed_ms": 2953.9, + "returncode": 1, + "prompt_metrics": { + "chars": 10476, + "bytes_utf8": 10476, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbec9c07d2b507466e433f51f15af60a07e612c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Month, measure_col=SpecialDay.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Month", + "measure_col": "SpecialDay", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbec9c07d2b507466e433f51f15af60a07e612c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Month, measure_col=SpecialDay.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Month", + "measure_col": "SpecialDay", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b3b1f1dfcacff6cfa07e577a6a315586025bca4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-48f0-7973-8ca4-57bc7caf7dc4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..961a83be3d506f8627f0ce45566439bb67c76d85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-48f0-7973-8ca4-57bc7caf7dc4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9000904d969d69e1e7de9980c8aeea2e2b8caeec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-5a09-7e62-b570-8c6bb82741b5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..911076225ae937c63fdd871d2873eb9f5e06acef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-5a09-7e62-b570-8c6bb82741b5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_41421f22b944b2b3/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_428eecb4b7dfac52/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_428eecb4b7dfac52/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c46e4d3869c8049123c92fab68bde8e3f8cfdfc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_428eecb4b7dfac52/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10653, "bytes_utf8": 10653, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10653, "bytes_utf8": 10653, "lines": 315, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 428, "bytes_utf8": 428, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 317, "reasoning_output_tokens": 206}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f581ebe6b555795cae1631be58b62400e6fb579e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10310, "bytes_utf8": 10310, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 279, "bytes_utf8": 279, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14910, "cached_input_tokens": 12032, "output_tokens": 268, "reasoning_output_tokens": 191}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9e67a32a34a9b0e8ccd55f6b47d86261c8c0f2da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_42a14b2365338387", + "api_calls": 0, + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 268, + "total_tokens": 15178, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16991.05, + "sql_execution_elapsed_ms_total": 7.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2690043d7f37fc73f802e533c557b099e7cf5648 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:07.356850+00:00", + "ended_at": "2026-05-19T15:32:24.347947+00:00", + "elapsed_ms": 16991.05, + "prompt_metrics": { + "chars": 10310, + "bytes_utf8": 10310, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1294, + "bytes_utf8": 1294, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 279, + "bytes_utf8": 279, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 268, + "reasoning_output_tokens": 191 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb7581ba5d88655a673c461467936463eb6d3d1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=SpecialDay.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "SpecialDay", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db5ef5a9536e2c48ae158b486797189b5965d8f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dd-a330-7403-9f1f-1d130af56d31"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984876, Requested 15545. Please try again in 12ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1996139, Requested 15545. Please try again in 350ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"SpecialDay\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"SpecialDay\\\" on the single table \\\"m6\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14910,"cached_input_tokens":12032,"output_tokens":268,"reasoning_output_tokens":191}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a20ed1c0d7d6c8cc57a54c6544f7336fca787cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"SpecialDay\", COUNT(*) AS row_count\nFROM \"m6\"\nGROUP BY \"SpecialDay\"\nORDER BY row_count DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"SpecialDay\" on the single table \"m6\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_42a14b2365338387/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c6148716f9822edca57729dbddfa8948b925644a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10826, "bytes_utf8": 10826, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 650, "bytes_utf8": 650, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15055, "cached_input_tokens": 12032, "output_tokens": 508, "reasoning_output_tokens": 340}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8f9de8fef2d86a1c729af2dc1bf4b9d36b2de61e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_464a1cd36f37fda4", + "api_calls": 0, + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 508, + "total_tokens": 15563, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11223.29, + "sql_execution_elapsed_ms_total": 29.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e75832603447bf24b54a0830c1cea6e86ba12615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:55.676547+00:00", + "ended_at": "2026-05-19T15:34:06.899867+00:00", + "elapsed_ms": 11223.29, + "prompt_metrics": { + "chars": 10826, + "bytes_utf8": 10826, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1034, + "bytes_utf8": 1034, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 650, + "bytes_utf8": 650, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 508, + "reasoning_output_tokens": 340 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc531474fff6b125c2f182106bcb22415c95a5d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=SpecialDay, measure_col=OperatingSystems.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "OperatingSystems", + "item_col": "PageValues", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce3c1cf4300ba2e468094f35b5c380edd1fb64e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-4a70-7d32-a410-7419d288aebd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"SpecialDay\\\", \\\"PageValues\\\",\\n SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"OperatingSystems\\\" AS REAL))) OVER (PARTITION BY \\\"SpecialDay\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\", \\\"PageValues\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"SpecialDay\\\", item_col=\\\"PageValues\\\", and measure_col=\\\"OperatingSystems\\\". Cast \\\"OperatingSystems\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15055,"cached_input_tokens":12032,"output_tokens":508,"reasoning_output_tokens":340}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1173930c12431387f854785e22a84cc5203cf28c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"SpecialDay\", \"PageValues\",\n SUM(CAST(\"OperatingSystems\" AS REAL)) AS total_measure,\n SUM(CAST(\"OperatingSystems\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"OperatingSystems\" AS REAL))) OVER (PARTITION BY \"SpecialDay\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"SpecialDay\", \"PageValues\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"SpecialDay\", item_col=\"PageValues\", and measure_col=\"OperatingSystems\". Cast \"OperatingSystems\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_464a1cd36f37fda4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9604b4328320c1ddd2e886a404dd90c3407f9bb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10594, "bytes_utf8": 10594, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1791, "bytes_utf8": 1791, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 3072, "reasoning_output_tokens": 2531}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5441afc1dd18b253943de551093ac4e1c68eee1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_4a211a946d2695ce", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 3072, + "total_tokens": 18045, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 47342.78, + "sql_execution_elapsed_ms_total": 59.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d95c36fbd1eba3f33c1a1584441e7a1c21523455 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:01.412344+00:00", + "ended_at": "2026-05-19T15:50:48.755153+00:00", + "elapsed_ms": 47342.78, + "prompt_metrics": { + "chars": 10594, + "bytes_utf8": 10594, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2410, + "bytes_utf8": 2410, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1791, + "bytes_utf8": 1791, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 3072, + "reasoning_output_tokens": 2531 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..90d74dd6c6944ffd5948b2d01ffcc515102d688b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=TrafficType, measure_col=Administrative.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec3b0345f81f77f7f5211e66d1eb8630126bb600 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-06da-7bb2-9d8a-0d936f4f7b03"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"TrafficType\\\",\\n CAST(\\\"Administrative\\\" AS REAL) AS \\\"Administrative_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"TrafficType\\\"\\n ORDER BY CAST(\\\"Administrative\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"TrafficType\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"TrafficType\\\" IS NOT NULL\\n AND TRIM(\\\"TrafficType\\\") <> ''\\n AND \\\"Administrative\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"TrafficType\\\",\\n \\\"Administrative_num\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1.0 + ((\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"TrafficType\\\",\\n \\\"Administrative_num\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"positions\\\"\\n)\\nSELECT\\n \\\"TrafficType\\\",\\n CASE\\n WHEN MAX(\\\"lo_rn\\\") = MAX(\\\"hi_rn\\\") THEN\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo_rn\\\" THEN \\\"Administrative_num\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo_rn\\\" THEN \\\"Administrative_num\\\" END) +\\n (MAX(\\\"pos\\\") - MAX(\\\"lo_rn\\\")) * (\\n MAX(CASE WHEN \\\"rn\\\" = \\\"hi_rn\\\" THEN \\\"Administrative_num\\\" END) -\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo_rn\\\" THEN \\\"Administrative_num\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nGROUP BY \\\"TrafficType\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.95) in SQLite using linear interpolation over ordered CAST(\\\"Administrative\\\" AS REAL) values within each \\\"TrafficType\\\" group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14973,"cached_input_tokens":13696,"output_tokens":3072,"reasoning_output_tokens":2531}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe464c2db26f0296d0e4cc34ffcc76e09a801af8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"TrafficType\",\n CAST(\"Administrative\" AS REAL) AS \"Administrative_num\",\n ROW_NUMBER() OVER (\n PARTITION BY \"TrafficType\"\n ORDER BY CAST(\"Administrative\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"TrafficType\"\n ) AS \"cnt\"\n FROM \"m6\"\n WHERE \"TrafficType\" IS NOT NULL\n AND TRIM(\"TrafficType\") <> ''\n AND \"Administrative\" IS NOT NULL\n AND TRIM(\"Administrative\") <> ''\n),\n\"positions\" AS (\n SELECT\n \"TrafficType\",\n \"Administrative_num\",\n \"rn\",\n \"cnt\",\n 1.0 + ((\"cnt\" - 1) * 0.95) AS \"pos\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n \"TrafficType\",\n \"Administrative_num\",\n \"rn\",\n \"cnt\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"positions\"\n)\nSELECT\n \"TrafficType\",\n CASE\n WHEN MAX(\"lo_rn\") = MAX(\"hi_rn\") THEN\n MAX(CASE WHEN \"rn\" = \"lo_rn\" THEN \"Administrative_num\" END)\n ELSE\n MAX(CASE WHEN \"rn\" = \"lo_rn\" THEN \"Administrative_num\" END) +\n (MAX(\"pos\") - MAX(\"lo_rn\")) * (\n MAX(CASE WHEN \"rn\" = \"hi_rn\" THEN \"Administrative_num\" END) -\n MAX(CASE WHEN \"rn\" = \"lo_rn\" THEN \"Administrative_num\" END)\n )\n END AS \"percentile_measure\"\nFROM \"bounds\"\nGROUP BY \"TrafficType\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.95) in SQLite using linear interpolation over ordered CAST(\"Administrative\" AS REAL) values within each \"TrafficType\" group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4a211a946d2695ce/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..980fe1fea90c7289ebfde651fbefb9acae6e3aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:18.786793+00:00", + "ended_at": "2026-05-19T16:06:22.213513+00:00", + "elapsed_ms": 3426.69, + "returncode": 1, + "prompt_metrics": { + "chars": 10386, + "bytes_utf8": 10386, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a2fbca7e1e64868832d2895b2e50c883ba7a2a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:23.215260+00:00", + "ended_at": "2026-05-19T16:06:25.876669+00:00", + "elapsed_ms": 2661.38, + "returncode": 1, + "prompt_metrics": { + "chars": 10386, + "bytes_utf8": 10386, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9105017b9805ff650534d87ecf54d4bc35ec177 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Browser.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Browser", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9105017b9805ff650534d87ecf54d4bc35ec177 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Browser.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Browser", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b33d27410fdb9e8313d99399e4e76b76ae8db44b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f0c6-76c2-a496-6e05fe8e2b86"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c12a42a724b0529e1c38b8bb05e5b291b1ba153 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f0c6-76c2-a496-6e05fe8e2b86"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e74b1ffa862ccf6648807d1cfb8070bf7812722 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-01e9-7c00-a126-bb40c6d22af0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0ed43878fefeab3366ed3dfbdb39d71d51c0a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-01e9-7c00-a126-bb40c6d22af0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4aee758654455955/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcc850ccef1c3758a6ad21afc9e413e136d5df09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10405, "bytes_utf8": 10405, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 411, "bytes_utf8": 411, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5d93963a43833f8ab021314de05bb93c9bbfba2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_4c47e1261cf924f5", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 15285, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32105.97, + "sql_execution_elapsed_ms_total": 8.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9598c40fe0b4e32886437b9b191acb230671cf1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:50.409723+00:00", + "ended_at": "2026-05-19T15:31:22.515733+00:00", + "elapsed_ms": 32105.97, + "prompt_metrics": { + "chars": 10405, + "bytes_utf8": 10405, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 3108, + "bytes_utf8": 3108, + "lines": 11, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 411, + "bytes_utf8": 411, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 348, + "reasoning_output_tokens": 240 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4979b0af7934dad13758a3ac6c6bcc35ea39abbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=TrafficType, measure_col=ExitRates.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "TrafficType", + "measure_col": "ExitRates", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..34ef21f04e7f2b4e0b78245abc0987ee9f0ef598 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,11 @@ +{"type":"thread.started","thread_id":"019e40dc-76c5-7620-b57e-4bb8ef410d8e"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1998345, Requested 15572. Please try again in 417ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988005, Requested 15572. Please try again in 107ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989303, Requested 15572. Please try again in 146ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15572. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15572. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988135, Requested 15572. Please try again in 111ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15572. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"TrafficType\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"TrafficType\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"TrafficType\\\" as the grouping column and \\\"ExitRates\\\" as the summed measure. Cast \\\"ExitRates\\\" to REAL because the schema snapshot shows it stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14937,"cached_input_tokens":12032,"output_tokens":348,"reasoning_output_tokens":240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfad4ed0469e8a36815786bb44a5d85e16198a50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"TrafficType\", SUM(CAST(\"ExitRates\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"TrafficType\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the grouped numeric sum template with \"TrafficType\" as the grouping column and \"ExitRates\" as the summed measure. Cast \"ExitRates\" to REAL because the schema snapshot shows it stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_4c47e1261cf924f5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0eeecfb683a5ec89e027695e85f2b558af7509c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10596, "bytes_utf8": 10596, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10596, "bytes_utf8": 10596, "lines": 312, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1046, "bytes_utf8": 1046, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14975, "cached_input_tokens": 12032, "output_tokens": 2045, "reasoning_output_tokens": 1764}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..885c60e7392f5d98fdd2958564f3bb197ed571bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_52f738d441389984", + "api_calls": 0, + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 2045, + "total_tokens": 17020, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36185.75, + "sql_execution_elapsed_ms_total": 38.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3424570932019fdd6ba8968ce11ae23428def24f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:34.813936+00:00", + "ended_at": "2026-05-19T15:57:38.019259+00:00", + "elapsed_ms": 3205.3, + "returncode": 1, + "prompt_metrics": { + "chars": 10596, + "bytes_utf8": 10596, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ba4c965fbaa17904a4767f82e80b22e9e4aa1ae5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:39.020837+00:00", + "ended_at": "2026-05-19T15:58:12.001324+00:00", + "elapsed_ms": 32980.45, + "prompt_metrics": { + "chars": 10596, + "bytes_utf8": 10596, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1475, + "bytes_utf8": 1475, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1046, + "bytes_utf8": 1046, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 2045, + "reasoning_output_tokens": 1764 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8b2103373d7da462993cb1e880065a509c3c837 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=OperatingSystems, measure_col=PageValues.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "PageValues", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8b2103373d7da462993cb1e880065a509c3c837 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=OperatingSystems, measure_col=PageValues.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "PageValues", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0d4961f1f22c125437eb425e97fada45b2b4034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-f1f8-7502-a625-c4970eabfbb7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..48715dcd2793664b3abfe81eb0f527392ffb8009 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-f1f8-7502-a625-c4970eabfbb7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9b201f46b61e8756273c22b2d722afbd30af6de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-025a-75a1-a44c-62a5633f3227"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n CAST(\\\"PageValues\\\" AS REAL) AS \\\"page_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"OperatingSystems\\\") AS \\\"cnt\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ORDER BY CAST(\\\"PageValues\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m6\\\"\\n WHERE NULLIF(TRIM(\\\"OperatingSystems\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"PageValues\\\"), '') IS NOT NULL\\n)\\nSELECT\\n \\\"OperatingSystems\\\",\\n MIN(\\\"page_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"cume_dist\\\" >= 0.95\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to compute an empirical 95th-percentile point per OperatingSystems group. PageValues is CAST to REAL because the schema stores numeric-looking fields as TEXT, and groups with fewer than 5 rows are excluded using the provided minimum group size binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14975,"cached_input_tokens":12032,"output_tokens":2045,"reasoning_output_tokens":1764}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..05e100b6b05dda9cde8e87be3fab04335854af03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"OperatingSystems\",\n CAST(\"PageValues\" AS REAL) AS \"page_value\",\n COUNT(*) OVER (PARTITION BY \"OperatingSystems\") AS \"cnt\",\n CUME_DIST() OVER (\n PARTITION BY \"OperatingSystems\"\n ORDER BY CAST(\"PageValues\" AS REAL)\n ) AS \"cume_dist\"\n FROM \"m6\"\n WHERE NULLIF(TRIM(\"OperatingSystems\"), '') IS NOT NULL\n AND NULLIF(TRIM(\"PageValues\"), '') IS NOT NULL\n)\nSELECT\n \"OperatingSystems\",\n MIN(\"page_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cnt\" >= 5\n AND \"cume_dist\" >= 0.95\nGROUP BY \"OperatingSystems\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to compute an empirical 95th-percentile point per OperatingSystems group. PageValues is CAST to REAL because the schema stores numeric-looking fields as TEXT, and groups with fewer than 5 rows are excluded using the provided minimum group size binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_52f738d441389984/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4516618aaab6d0d213ba5bf3cda3644853212c84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10961, "bytes_utf8": 10961, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 13696, "output_tokens": 593, "reasoning_output_tokens": 425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fcafeefbf27524751c2793c7aed72442075dd922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_55025a4eb81408b0", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 593, + "total_tokens": 15666, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15306.42, + "sql_execution_elapsed_ms_total": 5.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e872d299dbab67937b84ede7538d797cb43af4ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:03.816796+00:00", + "ended_at": "2026-05-19T15:48:19.123256+00:00", + "elapsed_ms": 15306.42, + "prompt_metrics": { + "chars": 10961, + "bytes_utf8": 10961, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1016, + "bytes_utf8": 1016, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 657, + "bytes_utf8": 657, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 593, + "reasoning_output_tokens": 425 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8bfaae6572b7664904c00f70f31121b6c33e82b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=SpecialDay, measure_col=SpecialDay.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "SpecialDay", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a6b3b0560b955be2c93d65500be60d5aaf7e280 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-3bef-7fe2-99ae-f18173927061"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"SpecialDay\\\", SUM(CAST(\\\"SpecialDay\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"SpecialDay\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"SpecialDay\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested Relative-to-Total Extreme Threshold template with group_col=SpecialDay and measure_col=SpecialDay. CAST to REAL is applied because the schema stores numeric-looking values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15073,"cached_input_tokens":13696,"output_tokens":593,"reasoning_output_tokens":425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cef7c779bba46fcbd603663341ba7ba47366f760 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"SpecialDay\", SUM(CAST(\"SpecialDay\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"SpecialDay\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"SpecialDay\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the requested Relative-to-Total Extreme Threshold template with group_col=SpecialDay and measure_col=SpecialDay. CAST to REAL is applied because the schema stores numeric-looking values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_55025a4eb81408b0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1423365ad29a309b199e0804848560f5962e15b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10361, "bytes_utf8": 10361, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10361, "bytes_utf8": 10361, "lines": 310, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14930, "cached_input_tokens": 13696, "output_tokens": 263, "reasoning_output_tokens": 152}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a0de8a34b54242da4c481fb19ffd16055f656064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_59d7d9311f6035f8", + "api_calls": 0, + "input_tokens": 14930, + "cached_input_tokens": 13696, + "output_tokens": 263, + "total_tokens": 15193, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13172.13, + "sql_execution_elapsed_ms_total": 4.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9e05e841167b402eebfc3dc7720caf4b764412d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:51.659831+00:00", + "ended_at": "2026-05-19T16:03:57.178035+00:00", + "elapsed_ms": 5518.14, + "returncode": 1, + "prompt_metrics": { + "chars": 10361, + "bytes_utf8": 10361, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..208b0ea97ec7a2d57298d6be5e3bad77cba67227 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:58.180731+00:00", + "ended_at": "2026-05-19T16:04:05.834772+00:00", + "elapsed_ms": 7653.99, + "prompt_metrics": { + "chars": 10361, + "bytes_utf8": 10361, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 746, + "bytes_utf8": 746, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 402, + "bytes_utf8": 402, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14930, + "cached_input_tokens": 13696, + "output_tokens": 263, + "reasoning_output_tokens": 152 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87b8471c137713c3743856cdd8f480726c0fae50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Informational_Duration.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Informational_Duration", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..87b8471c137713c3743856cdd8f480726c0fae50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Informational_Duration.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Informational_Duration", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f8247ce166b689bf417581d0af2ad11dd4ea6a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b1e1-7282-a98d-c153bba4c34f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae8e85295cb9d31e73cc3e48b9482b96fff18b1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b1e1-7282-a98d-c153bba4c34f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..15d4a8f96e3c533acf1264dfbf9dba5ca015ad2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-cb82-7790-8d8f-eaae2ea98bed"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Informational_Duration\\\" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\",\"notes\":\"Applied the planned Threshold Rarity CDF template with measure_col bound to \\\"Informational_Duration\\\" and threshold fixed at 0.0. Cast to REAL because the SQLite schema stores this numeric field as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14930,"cached_input_tokens":13696,"output_tokens":263,"reasoning_output_tokens":152}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c74f0eb93506b6dfefafbc2979db5b8967a29668 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Informational_Duration\" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m6\";","notes":"Applied the planned Threshold Rarity CDF template with measure_col bound to \"Informational_Duration\" and threshold fixed at 0.0. Cast to REAL because the SQLite schema stores this numeric field as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_59d7d9311f6035f8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6519674744872826de7d6697a13e5febf26afbde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10426, "bytes_utf8": 10426, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 397, "bytes_utf8": 397, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 13696, "output_tokens": 490, "reasoning_output_tokens": 393}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aa95d23fd516dcf24f9ef50ff3b4b933cbce4638 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_5b0bb89732fa0f0b", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 490, + "total_tokens": 15427, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13021.46, + "sql_execution_elapsed_ms_total": 5.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..119de26ab1531e2e944bb84133258ed03753e3eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:33.890708+00:00", + "ended_at": "2026-05-19T15:29:46.912202+00:00", + "elapsed_ms": 13021.46, + "prompt_metrics": { + "chars": 10426, + "bytes_utf8": 10426, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 751, + "bytes_utf8": 751, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 397, + "bytes_utf8": 397, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 490, + "reasoning_output_tokens": 393 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3bde81bc17ab6ff7c034bf2b55990a92af30203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=OperatingSystems, measure_col=ProductRelated.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "ProductRelated", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..93da332a984907590d38792e616c7c2fd34f3496 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-4bcc-7e91-9863-d9dc61600bbb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"OperatingSystems\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested Grouped Numeric Sum template with \\\"OperatingSystems\\\" as the grouping column and cast text-typed \\\"ProductRelated\\\" to REAL before summing for SQLite compatibility.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14937,"cached_input_tokens":13696,"output_tokens":490,"reasoning_output_tokens":393}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8298d20558f11ad5b21491ac8d25dd8c287012ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"OperatingSystems\", SUM(CAST(\"ProductRelated\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"OperatingSystems\"\nORDER BY total_measure DESC;","notes":"Used the requested Grouped Numeric Sum template with \"OperatingSystems\" as the grouping column and cast text-typed \"ProductRelated\" to REAL before summing for SQLite compatibility."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5b0bb89732fa0f0b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8406dbb80e161d23d3b2c0c98e1e9e926f967af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10711, "bytes_utf8": 10711, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15026, "cached_input_tokens": 12032, "output_tokens": 270, "reasoning_output_tokens": 162}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1443565e2eebfd52de704385b908a2d4f2fdc3df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_5ec8958cc2870e25", + "api_calls": 0, + "input_tokens": 15026, + "cached_input_tokens": 12032, + "output_tokens": 270, + "total_tokens": 15296, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15286.2, + "sql_execution_elapsed_ms_total": 2.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..73bcc526bc48b24c22ea54114aa6814167a7e7a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:50.701648+00:00", + "ended_at": "2026-05-19T15:42:05.987877+00:00", + "elapsed_ms": 15286.2, + "prompt_metrics": { + "chars": 10711, + "bytes_utf8": 10711, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1438, + "bytes_utf8": 1438, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 409, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15026, + "cached_input_tokens": 12032, + "output_tokens": 270, + "reasoning_output_tokens": 162 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4bdf0c921b49be85a269bb48669ad9d787d8d7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=VisitorType, group_col_2=Revenue.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "VisitorType", + "group_col_2": "Revenue", + "predicate_col": "Revenue", + "predicate_op": "=", + "predicate_value": "TRUE", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..83ca7357fbf587ec33a5fd9f3d6f844190932d7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e6-8a0b-77a0-9bc2-c523136084fb"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1991494, Requested 15661. Please try again in 214ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1990225, Requested 15661. Please try again in 176ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"VisitorType\\\", \\\"Revenue\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE \\\"Revenue\\\" = 'TRUE'\\nGROUP BY \\\"VisitorType\\\", \\\"Revenue\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with group_col=\\\"VisitorType\\\", group_col_2=\\\"Revenue\\\", and treated Revenue as a TEXT field using the literal 'TRUE'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15026,"cached_input_tokens":12032,"output_tokens":270,"reasoning_output_tokens":162}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a067234867d6bafd986c2e21464bee3f5cd8d5ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"VisitorType\", \"Revenue\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE \"Revenue\" = 'TRUE'\nGROUP BY \"VisitorType\", \"Revenue\"\nORDER BY row_count DESC;","notes":"Applied the filtered two-dimensional group count template with group_col=\"VisitorType\", group_col_2=\"Revenue\", and treated Revenue as a TEXT field using the literal 'TRUE'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5ec8958cc2870e25/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4adc5377b96a0588bf1f664254972b3f8cd4caa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:56.748511+00:00", + "ended_at": "2026-05-19T16:06:00.044465+00:00", + "elapsed_ms": 3295.92, + "returncode": 1, + "prompt_metrics": { + "chars": 10402, + "bytes_utf8": 10402, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1b232d9478779bb22b9ab93c01817205bb9ddb7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:01.046578+00:00", + "ended_at": "2026-05-19T16:06:04.390764+00:00", + "elapsed_ms": 3344.14, + "returncode": 1, + "prompt_metrics": { + "chars": 10402, + "bytes_utf8": 10402, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..293a8a5483c694cb27855f834e2255e0a1e8d86b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=OperatingSystems.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "OperatingSystems", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..293a8a5483c694cb27855f834e2255e0a1e8d86b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=OperatingSystems.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "OperatingSystems", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c5e0a4223f532350b0935a0aa29839a03091fa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9a7c-7ae3-b964-607f05c5521a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..99739d87d09440929c1b947825191758ac9d2333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9a7c-7ae3-b964-607f05c5521a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..13c93746301b071e94bf0d95ffdb6d86e3ae62f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-abc9-7711-8697-9c43b3b0aed6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..857076b247e3e48a65c8047daa7ac126821c7597 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-abc9-7711-8697-9c43b3b0aed6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_5efc3a0e04f78aa5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1207995cd94dbb3092c42d6939e8a9bcb2868c55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10410, "bytes_utf8": 10410, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14938, "cached_input_tokens": 12032, "output_tokens": 452, "reasoning_output_tokens": 354}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fb6bd93eb494af0eaa8fd410acbee5b4b9eea07f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_61bd4fcf094aca6f", + "api_calls": 0, + "input_tokens": 14938, + "cached_input_tokens": 12032, + "output_tokens": 452, + "total_tokens": 15390, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12655.06, + "sql_execution_elapsed_ms_total": 16.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a25ae84218fafec2f0af6b662d7981251bc3a96c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:22.528511+00:00", + "ended_at": "2026-05-19T15:31:35.183605+00:00", + "elapsed_ms": 12655.06, + "prompt_metrics": { + "chars": 10410, + "bytes_utf8": 10410, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 727, + "bytes_utf8": 727, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 373, + "bytes_utf8": 373, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14938, + "cached_input_tokens": 12032, + "output_tokens": 452, + "reasoning_output_tokens": 354 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f77f258efd238dc494509a2416f0184d85b3185 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=TrafficType, measure_col=ExitRates.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "TrafficType", + "measure_col": "ExitRates", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6277297a629f8ea3e74afffa6647620fdfa28a90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-f411-79e3-803a-eed9b7f412ff"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"TrafficType\\\", SUM(CAST(\\\"ExitRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"TrafficType\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned Grouped Numeric Sum template with \\\"TrafficType\\\" as the group column and casts \\\"ExitRates\\\" to REAL because the schema stores this numeric measure as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14938,"cached_input_tokens":12032,"output_tokens":452,"reasoning_output_tokens":354}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04b1db4901183f4df8b570fa1f182d88bc7e6503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum.\nSELECT \"TrafficType\", SUM(CAST(\"ExitRates\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"TrafficType\"\nORDER BY total_measure DESC;","notes":"Uses the planned Grouped Numeric Sum template with \"TrafficType\" as the group column and casts \"ExitRates\" to REAL because the schema stores this numeric measure as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_61bd4fcf094aca6f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe6055edcc5cbd5e6a406fdf8a0825bd25b88008 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10579, "bytes_utf8": 10579, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 525, "reasoning_output_tokens": 369}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a78031a90bb99cfce681fef9c1a3e1f03b839bdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_62fbe729a7e83dd8", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 525, + "total_tokens": 15516, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16591.33, + "sql_execution_elapsed_ms_total": 44.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9241d1c9c9aec1ab0216a623cb5484e5f13cd0f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:06.530061+00:00", + "ended_at": "2026-05-19T15:43:23.121429+00:00", + "elapsed_ms": 16591.33, + "prompt_metrics": { + "chars": 10579, + "bytes_utf8": 10579, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1277, + "bytes_utf8": 1277, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 575, + "bytes_utf8": 575, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 525, + "reasoning_output_tokens": 369 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..63de380b538972888fa5f99f41a4bfe7aac3ff6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=BounceRates.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "BounceRates", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..00788ff56491b8515344a17664b5498832dde5f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e7-b218-7ae3-9440-f819acfee6fe"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986311, Requested 15626. Please try again in 58ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"BounceRates\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"BounceRates\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m6\\\"\\n WHERE \\\"BounceRates\\\" IS NOT NULL\\n AND \\\"BounceRates\\\" <> ''\\n)\\nSELECT \\\"BounceRates\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"BounceRates\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"BounceRates\\\" and num_tiles=10. CAST to REAL is used because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":525,"reasoning_output_tokens":369}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7e42a45be8bfd4fcd449d6209a90fb9787246ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"BounceRates\",\n NTILE(10) OVER (ORDER BY CAST(\"BounceRates\" AS REAL) DESC) AS tail_bucket\n FROM \"m6\"\n WHERE \"BounceRates\" IS NOT NULL\n AND \"BounceRates\" <> ''\n)\nSELECT \"BounceRates\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"BounceRates\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"BounceRates\" and num_tiles=10. CAST to REAL is used because the schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_62fbe729a7e83dd8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6d56bb1d7c27dd2b13f8402f2c9cd6634d408db8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10576, "bytes_utf8": 10576, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1242, "bytes_utf8": 1242, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 2031, "reasoning_output_tokens": 1663}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b2f192cb849e10a9b3e5f768d70298fcce6c144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_64145e38785caea6", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 2031, + "total_tokens": 17004, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32705.42, + "sql_execution_elapsed_ms_total": 35.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b099dfebf7da245f32080f6ee7aad3607e0e894f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:30.133830+00:00", + "ended_at": "2026-05-19T15:59:02.839278+00:00", + "elapsed_ms": 32705.42, + "prompt_metrics": { + "chars": 10576, + "bytes_utf8": 10576, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1764, + "bytes_utf8": 1764, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1242, + "bytes_utf8": 1242, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 2031, + "reasoning_output_tokens": 1663 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f4f7efb3fca2bb700db8b0a23bc208c910549cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Browser, measure_col=SpecialDay.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Browser", + "measure_col": "SpecialDay", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..edfc2e4f7a482666ab27e60a8a95db29ad1c3806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-ca10-72f1-9366-63097d520dcf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n CAST(\\\"SpecialDay\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Browser\\\" IS NOT NULL\\n AND \\\"SpecialDay\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT\\n \\\"Browser\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"Browser\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Browser\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Browser\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n WHERE \\\"Browser\\\" IN (SELECT \\\"Browser\\\" FROM \\\"eligible\\\")\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"Browser\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST((9 * \\\"cnt\\\" + 9) / 10 AS INTEGER)\\n GROUP BY \\\"Browser\\\"\\n)\\nSELECT\\n \\\"Browser\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Browser\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile approximation for CAST(\\\"SpecialDay\\\" AS REAL) within each \\\"Browser\\\" group, restricted to groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14973,"cached_input_tokens":13696,"output_tokens":2031,"reasoning_output_tokens":1663}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..571bf55d8a4c08d8a549b1abfe046814e4130e1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"Browser\",\n CAST(\"SpecialDay\" AS REAL) AS \"measure_value\"\n FROM \"m6\"\n WHERE \"Browser\" IS NOT NULL\n AND \"SpecialDay\" IS NOT NULL\n),\n\"eligible\" AS (\n SELECT\n \"Browser\"\n FROM \"base\"\n GROUP BY \"Browser\"\n HAVING COUNT(*) >= 5\n),\n\"ranked\" AS (\n SELECT\n \"Browser\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Browser\"\n ORDER BY \"measure_value\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Browser\"\n ) AS \"cnt\"\n FROM \"base\"\n WHERE \"Browser\" IN (SELECT \"Browser\" FROM \"eligible\")\n),\n\"percentiles\" AS (\n SELECT\n \"Browser\",\n MIN(\"measure_value\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" >= CAST((9 * \"cnt\" + 9) / 10 AS INTEGER)\n GROUP BY \"Browser\"\n)\nSELECT\n \"Browser\",\n \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC, \"Browser\";","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile approximation for CAST(\"SpecialDay\" AS REAL) within each \"Browser\" group, restricted to groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_64145e38785caea6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6abe7aff76bff46c24f7c259230a60ea2dbbeb2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10728, "bytes_utf8": 10728, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15029, "cached_input_tokens": 13696, "output_tokens": 473, "reasoning_output_tokens": 361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9a8e43e4fcb2c1b16041a1c79bb34095bd45de18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_6767937f246131e2", + "api_calls": 0, + "input_tokens": 15029, + "cached_input_tokens": 13696, + "output_tokens": 473, + "total_tokens": 15502, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16514.94, + "sql_execution_elapsed_ms_total": 15.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..69b903b03258e4a7ec79936c2f5c65ea6870116f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:17.126115+00:00", + "ended_at": "2026-05-19T15:41:33.641087+00:00", + "elapsed_ms": 16514.94, + "prompt_metrics": { + "chars": 10728, + "bytes_utf8": 10728, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1127, + "bytes_utf8": 1127, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 419, + "bytes_utf8": 419, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15029, + "cached_input_tokens": 13696, + "output_tokens": 473, + "reasoning_output_tokens": 361 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..14ec1d63529626413b5333af295c521332eade76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=TrafficType, group_col_2=Revenue.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "TrafficType", + "group_col_2": "Revenue", + "predicate_col": "VisitorType", + "predicate_op": "=", + "predicate_value": "Returning_Visitor", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fdd99d273c7a00ee7904651b1cda8573f8c53a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e6-06e0-7150-87d8-61cce683090f"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1997508, Requested 15664. Please try again in 395ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"TrafficType\\\", \\\"Revenue\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nWHERE \\\"VisitorType\\\" = 'Returning_Visitor'\\nGROUP BY \\\"TrafficType\\\", \\\"Revenue\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the filtered two-dimensional group count template using \\\"TrafficType\\\" and \\\"Revenue\\\", restricted to rows where \\\"VisitorType\\\" is 'Returning_Visitor'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15029,"cached_input_tokens":13696,"output_tokens":473,"reasoning_output_tokens":361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cb69442c32b438a3f4c7050efcd58eaf755824a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"TrafficType\", \"Revenue\", COUNT(*) AS \"row_count\"\nFROM \"m6\"\nWHERE \"VisitorType\" = 'Returning_Visitor'\nGROUP BY \"TrafficType\", \"Revenue\"\nORDER BY \"row_count\" DESC;","notes":"Applies the filtered two-dimensional group count template using \"TrafficType\" and \"Revenue\", restricted to rows where \"VisitorType\" is 'Returning_Visitor'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6767937f246131e2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..82cf83769812fddb231f82a7a2a4ef74dba065e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10601, "bytes_utf8": 10601, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1923, "bytes_utf8": 1923, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 3522, "reasoning_output_tokens": 2911}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8f3ada1572dffe0af39e0b43f173c0f55808193d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_6782412a1b3e330c", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 3522, + "total_tokens": 18495, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 55046.59, + "sql_execution_elapsed_ms_total": 56.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..92416017c4eda08404054169bc9fe6d3475ee2a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:23.462159+00:00", + "ended_at": "2026-05-19T15:55:18.508780+00:00", + "elapsed_ms": 55046.59, + "prompt_metrics": { + "chars": 10601, + "bytes_utf8": 10601, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2531, + "bytes_utf8": 2531, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1923, + "bytes_utf8": 1923, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14973, + "cached_input_tokens": 13696, + "output_tokens": 3522, + "reasoning_output_tokens": 2911 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..419a413469669cfc67d2b0fc818b3ccffca80bb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Administrative, measure_col=ProductRelated.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Administrative", + "measure_col": "ProductRelated", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd027e13fb56829a67726ef2269e1802525b4b8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-068a-7092-b421-f0f41d34ddc8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Administrative\\\",\\n CAST(\\\"ProductRelated\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Administrative\\\"\\n ORDER BY CAST(\\\"ProductRelated\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Administrative\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Administrative\\\" IS NOT NULL\\n AND \\\"ProductRelated\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Administrative\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) = CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"Administrative\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"Administrative\\\" = p.\\\"Administrative\\\"\\n GROUP BY\\n p.\\\"Administrative\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"Administrative\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.9) in SQLite by ordering ProductRelated within each Administrative group, casting the TEXT-stored measure to REAL, and linearly interpolating between the two bracketing ranks.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14973,"cached_input_tokens":13696,"output_tokens":3522,"reasoning_output_tokens":2911}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1eb9be71b6c7fa839f0b205969c547f88fd9ccd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Administrative\",\n CAST(\"ProductRelated\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Administrative\"\n ORDER BY CAST(\"ProductRelated\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Administrative\"\n ) AS \"cnt\"\n FROM \"m6\"\n WHERE \"Administrative\" IS NOT NULL\n AND \"ProductRelated\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"Administrative\",\n (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pos\",\n CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + (0.9 * (\"cnt\" - 1))) = CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n p.\"Administrative\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS o\n ON o.\"Administrative\" = p.\"Administrative\"\n GROUP BY\n p.\"Administrative\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"Administrative\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.9) in SQLite by ordering ProductRelated within each Administrative group, casting the TEXT-stored measure to REAL, and linearly interpolating between the two bracketing ranks."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6782412a1b3e330c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c1a479793fe79ba923469a2725bb1e33067aa9f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10960, "bytes_utf8": 10960, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15072, "cached_input_tokens": 13696, "output_tokens": 435, "reasoning_output_tokens": 275}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..60dd321165ac6cbec0ed7161ecdecfb2f507cac2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_67ad158d9739b537", + "api_calls": 0, + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 435, + "total_tokens": 15507, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12390.33, + "sql_execution_elapsed_ms_total": 13.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d058831b1088ee235742131b2e6dd6b8aeb01bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:26.815145+00:00", + "ended_at": "2026-05-19T15:46:39.205519+00:00", + "elapsed_ms": 12390.33, + "prompt_metrics": { + "chars": 10960, + "bytes_utf8": 10960, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 969, + "bytes_utf8": 969, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 598, + "bytes_utf8": 598, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15072, + "cached_input_tokens": 13696, + "output_tokens": 435, + "reasoning_output_tokens": 275 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..544bd12be10c37eec1deba2837275f317f627a16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Revenue, measure_col=BounceRates.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Revenue", + "measure_col": "BounceRates", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cb57c9aec32f2655fa3428f108b24a5a9391086 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-c08c-7213-9c6a-e1a3658f3923"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Revenue\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Revenue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Revenue\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided template with group_col=\\\"Revenue\\\" and measure_col=\\\"BounceRates\\\". Cast \\\"BounceRates\\\" from TEXT to REAL so SQLite can sum it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15072,"cached_input_tokens":13696,"output_tokens":435,"reasoning_output_tokens":275}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..361e96edfdc3d9aa55f4e8e7b9bda66f8feb226b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Revenue\", SUM(CAST(\"BounceRates\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"Revenue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Revenue\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the provided template with group_col=\"Revenue\" and measure_col=\"BounceRates\". Cast \"BounceRates\" from TEXT to REAL so SQLite can sum it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_67ad158d9739b537/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b2f9f99cbed16b614ed86b6f9b7da3fcfa67ef1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:37.909075+00:00", + "ended_at": "2026-05-19T16:04:40.905412+00:00", + "elapsed_ms": 2996.31, + "returncode": 1, + "prompt_metrics": { + "chars": 10398, + "bytes_utf8": 10398, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ac3984e817df334cd694adbbadeb59c6564aec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Administrative.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Administrative", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ac3984e817df334cd694adbbadeb59c6564aec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Administrative.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Administrative", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6cd8a05764af7ea61f91ecbdca209f65d358f4df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-66a4-7a63-bcf4-c4eba768a683"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0106e41a06763cb436f69c743f77c972fc45d7da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-66a4-7a63-bcf4-c4eba768a683"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..031943562ab9d7c53696903bab8548a62443b964 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7658-7a31-a17e-876281d14201"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6d82330e93d432ec18ebc268aeea6379c9158f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7658-7a31-a17e-876281d14201"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_69c46a3db8a520c7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc49763fbde4e7145b8e6191be2a943ee737e5ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 468, "bytes_utf8": 468, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14999, "cached_input_tokens": 12032, "output_tokens": 286, "reasoning_output_tokens": 170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6064a791886222bb1bee0e3248782b0094afba59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_6ac7f1c86f4f2d25", + "api_calls": 0, + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 286, + "total_tokens": 15285, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8355.03, + "sql_execution_elapsed_ms_total": 9.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d975c67111a0ed8355b89484e916c5db495441e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:22.270681+00:00", + "ended_at": "2026-05-19T15:59:30.625747+00:00", + "elapsed_ms": 8355.03, + "prompt_metrics": { + "chars": 10669, + "bytes_utf8": 10669, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 823, + "bytes_utf8": 823, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 468, + "bytes_utf8": 468, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 286, + "reasoning_output_tokens": 170 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f348601ee1e76f02b1129719a535a68dd97c4241 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=VisitorType, condition_col=OperatingSystems.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "VisitorType", + "condition_col": "OperatingSystems", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..07d6d84705c8f7101297f8cd4c755858f2ddae47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-95a2-75b1-a2f1-861fcc01976f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"VisitorType\\\",\\n AVG(CASE WHEN \\\"OperatingSystems\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"VisitorType\\\" and condition_col=\\\"OperatingSystems\\\". Compared OperatingSystems to text literal '2' because the SQLite schema stores this column as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14999,"cached_input_tokens":12032,"output_tokens":286,"reasoning_output_tokens":170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..81dd2e6690db49397f49362a1beafcd656c1b622 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"VisitorType\",\n AVG(CASE WHEN \"OperatingSystems\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"VisitorType\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col=\"VisitorType\" and condition_col=\"OperatingSystems\". Compared OperatingSystems to text literal '2' because the SQLite schema stores this column as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ac7f1c86f4f2d25/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14980c05ca778dd30d19b5350c5f1ea65ecb66d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11210, "bytes_utf8": 11210, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 655, "bytes_utf8": 655, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15142, "cached_input_tokens": 12032, "output_tokens": 600, "reasoning_output_tokens": 426}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4789afdbbc5193bb2de43e0d02fe2c728f0d80f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_6d3c8ca85e55a443", + "api_calls": 0, + "input_tokens": 15142, + "cached_input_tokens": 12032, + "output_tokens": 600, + "total_tokens": 15742, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11977.24, + "sql_execution_elapsed_ms_total": 10.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..13a4cabf62df6d891164bead20b45cc7d6df3785 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:07.829453+00:00", + "ended_at": "2026-05-19T15:39:19.806718+00:00", + "elapsed_ms": 11977.24, + "prompt_metrics": { + "chars": 11210, + "bytes_utf8": 11210, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1028, + "bytes_utf8": 1028, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 655, + "bytes_utf8": 655, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15142, + "cached_input_tokens": 12032, + "output_tokens": 600, + "reasoning_output_tokens": 426 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cb48b43eeb30f38cf3ec810ccfb36c9d782308d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Browser, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Browser", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b15465e0332f3e13bc69f96af1068a715243d04a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-0dc9-7581-b2a8-22c73a923841"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Browser\\\",\\n SUM(CASE WHEN \\\"Weekend\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Browser\\\"\\n)\\nSELECT \\\"Browser\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with \\\"Browser\\\" as the grouping column and the ratio of \\\"Weekend\\\"='FALSE' to \\\"Weekend\\\"='TRUE' within each browser group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15142,"cached_input_tokens":12032,"output_tokens":600,"reasoning_output_tokens":426}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cef410d8dbd050e1bb0987908c10e111bc8d9bdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Browser\",\n SUM(CASE WHEN \"Weekend\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Weekend\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Browser\"\n)\nSELECT \"Browser\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with \"Browser\" as the grouping column and the ratio of \"Weekend\"='FALSE' to \"Weekend\"='TRUE' within each browser group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6d3c8ca85e55a443/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2b5249a2d5baeae3f73b58335752ac530e7bd09e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6da9782f357f5093/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10584, "bytes_utf8": 10584, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1799, "bytes_utf8": 1799, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 13696, "output_tokens": 2443, "reasoning_output_tokens": 1840}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..507808d70484d31e9c1b9dba67b04980bc64aeaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10432, "bytes_utf8": 10432, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14941, "cached_input_tokens": 12032, "output_tokens": 548, "reasoning_output_tokens": 444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..51feacf5785a667d763288b6f192ecbe84882372 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_6ed02042a5425818", + "api_calls": 0, + "input_tokens": 14941, + "cached_input_tokens": 12032, + "output_tokens": 548, + "total_tokens": 15489, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12365.22, + "sql_execution_elapsed_ms_total": 9.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..25e0a0e8199d9182a4655d6719662c060b9d1cab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:59.897022+00:00", + "ended_at": "2026-05-19T15:30:12.262282+00:00", + "elapsed_ms": 12365.22, + "prompt_metrics": { + "chars": 10432, + "bytes_utf8": 10432, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 756, + "bytes_utf8": 756, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14941, + "cached_input_tokens": 12032, + "output_tokens": 548, + "reasoning_output_tokens": 444 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..277f87f825d046888a6430c6eef563383cca5488 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Browser, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Browser", + "measure_col": "ProductRelated_Duration", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6cf5ce95898be97e3ab2c3a9164361e9e2865bec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-b178-73a3-81cd-db67914dd4e0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"Browser\\\", SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"Browser\\\" and measure_col=\\\"ProductRelated_Duration\\\". CAST to REAL is needed because the schema stores this measure as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14941,"cached_input_tokens":12032,"output_tokens":548,"reasoning_output_tokens":444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1961ab13998a5e30abe46be530ae9d35f823880e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum.\nSELECT \"Browser\", SUM(CAST(\"ProductRelated_Duration\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required grouped-sum template with group_col=\"Browser\" and measure_col=\"ProductRelated_Duration\". CAST to REAL is needed because the schema stores this measure as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ed02042a5425818/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f34dbf5cbfdec50123d92c0cd4460b5dd837e4a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:41.394596+00:00", + "ended_at": "2026-05-19T16:06:44.821717+00:00", + "elapsed_ms": 3427.09, + "returncode": 1, + "prompt_metrics": { + "chars": 10506, + "bytes_utf8": 10506, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ee73a52b2357ac49f48922dc94bcfc750f7bda0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:45.823434+00:00", + "ended_at": "2026-05-19T16:06:48.778971+00:00", + "elapsed_ms": 2955.5, + "returncode": 1, + "prompt_metrics": { + "chars": 10506, + "bytes_utf8": 10506, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee71f0fb406c86f39654a2f9acb683f1184079f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Administrative, measure_col=BounceRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Administrative", + "measure_col": "BounceRates", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee71f0fb406c86f39654a2f9acb683f1184079f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Administrative, measure_col=BounceRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Administrative", + "measure_col": "BounceRates", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..766ed902f06af3775636f616e70e11a90a9a9655 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-48e8-75b1-8b5b-bd630b31c0a0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..689f54d1ce1eeb05393be0aea064c3ee60532d17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-48e8-75b1-8b5b-bd630b31c0a0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2ac75931aae08e6a23a3458573ebcba067b2671 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-5a40-7a70-8c8c-0d8efdf3b8f1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a8f4ca4299471ac61863b577138896b82f403dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-5a40-7a70-8c8c-0d8efdf3b8f1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_6ef6d44245ab7ce0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..80c3074860eba330a2a7afc1877733896a441eaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10330, "bytes_utf8": 10330, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10330, "bytes_utf8": 10330, "lines": 310, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 356, "bytes_utf8": 356, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14924, "cached_input_tokens": 12288, "output_tokens": 224, "reasoning_output_tokens": 124}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..128b22d0500afabb3336bffbb9b656472efccdc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_719d85830ae6855f", + "api_calls": 0, + "input_tokens": 14924, + "cached_input_tokens": 12288, + "output_tokens": 224, + "total_tokens": 15148, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11457.06, + "sql_execution_elapsed_ms_total": 2.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..43815713255323c177fdadef610f3db0dd6b774d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:53.595495+00:00", + "ended_at": "2026-05-19T16:02:57.224338+00:00", + "elapsed_ms": 3628.82, + "returncode": 1, + "prompt_metrics": { + "chars": 10330, + "bytes_utf8": 10330, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..99098d6ce3b908181e352078a914f041106009b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:58.227011+00:00", + "ended_at": "2026-05-19T16:03:06.055299+00:00", + "elapsed_ms": 7828.24, + "prompt_metrics": { + "chars": 10330, + "bytes_utf8": 10330, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 696, + "bytes_utf8": 696, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 356, + "bytes_utf8": 356, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14924, + "cached_input_tokens": 12288, + "output_tokens": 224, + "reasoning_output_tokens": 124 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1b87175e9c9cdb6e36cfd3d010734edd41650dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Region", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1b87175e9c9cdb6e36cfd3d010734edd41650dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Region", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ea0e601689ed8fc1cc17a277f70165ccb3b69d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-cf22-79c0-b8cd-ae29986d1561"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd834d3f90092bf3880d79d9289ff178906b879a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-cf22-79c0-b8cd-ae29986d1561"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..117ed329c5f9760bb4fea93afade9f435e870ec9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-e141-7353-96fe-c51230956cb6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Region\\\" AS REAL) <= 4.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"m6\\\";\",\"notes\":\"Used the required Threshold Rarity CDF template with measure_col bound to \\\"Region\\\" and threshold 4.0. CAST to REAL is included because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14924,"cached_input_tokens":12288,"output_tokens":224,"reasoning_output_tokens":124}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..59e3b09354d31778cbf6929c1e7537e6da11553c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Region\" AS REAL) <= 4.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"m6\";","notes":"Used the required Threshold Rarity CDF template with measure_col bound to \"Region\" and threshold 4.0. CAST to REAL is included because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_719d85830ae6855f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e2978e8e0b1e6b9a14b39d2be3729a6b4a85b1ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10831, "bytes_utf8": 10831, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 676, "bytes_utf8": 676, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15057, "cached_input_tokens": 12032, "output_tokens": 542, "reasoning_output_tokens": 362}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9e0ed83036cc36d5e23cb7eeb207bd832cc3752b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_72ed4cfc7573dc2d", + "api_calls": 0, + "input_tokens": 15057, + "cached_input_tokens": 12032, + "output_tokens": 542, + "total_tokens": 15599, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14598.84, + "sql_execution_elapsed_ms_total": 16.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8839d8df0fe156034451073a20fc03f9292dcce2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:54.260582+00:00", + "ended_at": "2026-05-19T15:37:08.859446+00:00", + "elapsed_ms": 14598.84, + "prompt_metrics": { + "chars": 10831, + "bytes_utf8": 10831, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1059, + "bytes_utf8": 1059, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 676, + "bytes_utf8": 676, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15057, + "cached_input_tokens": 12032, + "output_tokens": 542, + "reasoning_output_tokens": 362 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a812b44144cc38791af1c50c731d73d671b2faa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Weekend, measure_col=Informational_Duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Weekend", + "measure_col": "Informational_Duration", + "item_col": "BounceRates", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe535600ee0f99a7da893329cdc8ac9e3e094da7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-03f4-7e82-a24e-7c62afa3485e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Weekend\\\",\\n \\\"BounceRates\\\",\\n SUM(CAST(NULLIF(\\\"Informational_Duration\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"Informational_Duration\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"Informational_Duration\\\", '') AS REAL))) OVER (PARTITION BY \\\"Weekend\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Weekend\\\", \\\"BounceRates\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template with group_col=\\\"Weekend\\\", item_col=\\\"BounceRates\\\", and measure_col=\\\"Informational_Duration\\\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15057,"cached_input_tokens":12032,"output_tokens":542,"reasoning_output_tokens":362}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79be1f09e6a5b9b6b828263d453b5b36e4be1196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Weekend\",\n \"BounceRates\",\n SUM(CAST(NULLIF(\"Informational_Duration\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"Informational_Duration\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"Informational_Duration\", '') AS REAL))) OVER (PARTITION BY \"Weekend\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Weekend\", \"BounceRates\"\nORDER BY share_within_group DESC;","notes":"Uses the required template with group_col=\"Weekend\", item_col=\"BounceRates\", and measure_col=\"Informational_Duration\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_72ed4cfc7573dc2d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fab451554529eaa180a6022c2cde6cfb4b1a63a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:25.526525+00:00", + "ended_at": "2026-05-19T16:08:28.783045+00:00", + "elapsed_ms": 3256.49, + "returncode": 1, + "prompt_metrics": { + "chars": 10479, + "bytes_utf8": 10479, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d47ae18f17b3c30510adc7ba6f11e24a0bdc1217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Browser, measure_col=Browser.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Browser", + "measure_col": "Browser", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d47ae18f17b3c30510adc7ba6f11e24a0bdc1217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Browser, measure_col=Browser.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Browser", + "measure_col": "Browser", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94bdb75f4f9a3e1e5e8f4c82dbf25094b09d53bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-dfbd-7e53-bdb3-08bf227f8e16"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b0cbb0ff2f623abf7e9827e930d123b50ae61d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_737f751ae1e6c5eb/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f065-7832-83a2-293700784501"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84ded261c0b8bbab4883a3497282def4784a282c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11249, "bytes_utf8": 11249, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15150, "cached_input_tokens": 13696, "output_tokens": 534, "reasoning_output_tokens": 360}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b58149ef85e7d77c978d601aca6eef8356d2903d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_73830497c14872f5", + "api_calls": 0, + "input_tokens": 15150, + "cached_input_tokens": 13696, + "output_tokens": 534, + "total_tokens": 15684, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13483.28, + "sql_execution_elapsed_ms_total": 6.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b0ebc3e86e058a30a6beebde967a3b23ae926d16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:00.000885+00:00", + "ended_at": "2026-05-19T15:40:13.484192+00:00", + "elapsed_ms": 13483.28, + "prompt_metrics": { + "chars": 11249, + "bytes_utf8": 11249, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1029, + "bytes_utf8": 1029, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 660, + "bytes_utf8": 660, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15150, + "cached_input_tokens": 13696, + "output_tokens": 534, + "reasoning_output_tokens": 360 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49b9bb2f3332c30656cdfc0cb7001f84817140bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Weekend, condition_col=VisitorType.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Weekend", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd883f73d3d9610bcc2cf5ccf108cfae83765fb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-d97d-74b2-803c-8de3b43519da"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Weekend\\\",\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Weekend\\\"\\n)\\nSELECT \\\"Weekend\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio query using \\\"Weekend\\\" as the group column and \\\"VisitorType\\\" as the condition column, with Returning_Visitor over New_Visitor.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15150,"cached_input_tokens":13696,"output_tokens":534,"reasoning_output_tokens":360}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4a49389ec46748aa9c859611d49f232cf110f28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Weekend\",\n SUM(CASE WHEN \"VisitorType\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"VisitorType\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Weekend\"\n)\nSELECT \"Weekend\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Grouped ratio query using \"Weekend\" as the group column and \"VisitorType\" as the condition column, with Returning_Visitor over New_Visitor."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73830497c14872f5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2d831b58ff81c792ae332859ac140735502b4af7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10854, "bytes_utf8": 10854, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 661, "bytes_utf8": 661, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 680, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9e187709ae2ba49b5323608261374e1993847ce7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_73a3d9f8ef8c3239", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 680, + "total_tokens": 15739, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14982.42, + "sql_execution_elapsed_ms_total": 16.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..202bc179edb40ce4853a6ba0139555a8f21a4b50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:49.189793+00:00", + "ended_at": "2026-05-19T15:38:04.172240+00:00", + "elapsed_ms": 14982.42, + "prompt_metrics": { + "chars": 10854, + "bytes_utf8": 10854, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1041, + "bytes_utf8": 1041, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 661, + "bytes_utf8": 661, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 680, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0502923fb7235cdec3f3a9f51b58b616e90ae9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Administrative, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Administrative", + "measure_col": "ProductRelated_Duration", + "item_col": "PageValues", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da2947dfb9ec754eb2f530c3b653f507cefb0b39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-daa2-73c3-912d-2170ff3c339b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Administrative\\\", \\\"PageValues\\\",\\n SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"Administrative\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\", \\\"PageValues\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested template with group_col=\\\"Administrative\\\", item_col=\\\"PageValues\\\", and measure_col=\\\"ProductRelated_Duration\\\". CAST to REAL is necessary because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15059,"cached_input_tokens":13696,"output_tokens":680,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07c3ac23e1449c107f406e675525c203d4330535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Administrative\", \"PageValues\",\n SUM(CAST(\"ProductRelated_Duration\" AS REAL)) AS total_measure,\n SUM(CAST(\"ProductRelated_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ProductRelated_Duration\" AS REAL))) OVER (PARTITION BY \"Administrative\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Administrative\", \"PageValues\"\nORDER BY share_within_group DESC;","notes":"Used the requested template with group_col=\"Administrative\", item_col=\"PageValues\", and measure_col=\"ProductRelated_Duration\". CAST to REAL is necessary because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_73a3d9f8ef8c3239/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fb4585e8af510310d0d52e99d65cc7c033c8e51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10350, "bytes_utf8": 10350, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14926, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c51a1fba767eba4130d53a6765876b1828c55ed0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_7741d3b6e2d60769", + "api_calls": 0, + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15278, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9876.24, + "sql_execution_elapsed_ms_total": 2.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3f84ca9cdede09f4e5609b814e76e12949188e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:34.792818+00:00", + "ended_at": "2026-05-19T16:02:44.669086+00:00", + "elapsed_ms": 9876.24, + "prompt_metrics": { + "chars": 10350, + "bytes_utf8": 10350, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 720, + "bytes_utf8": 720, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 376, + "bytes_utf8": 376, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 352, + "reasoning_output_tokens": 246 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1424a04bbd742eac468eca7771dcc51bb78e3b66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=OperatingSystems.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "OperatingSystems", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b6887ccf868dccb237e4663e0e3f79cdea72038 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-85bc-70a3-a9e1-247084f6cfdb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf.\\nSELECT AVG(CASE WHEN CAST(\\\"OperatingSystems\\\" AS REAL) <= 3.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"OperatingSystems\\\" and measure_threshold fixed at 3.0. CAST to REAL because the schema stores this field as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14926,"cached_input_tokens":12032,"output_tokens":352,"reasoning_output_tokens":246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..57c732be5ea2f6e757c679586ba60fb4407fdef6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf.\nSELECT AVG(CASE WHEN CAST(\"OperatingSystems\" AS REAL) <= 3.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m6\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"OperatingSystems\" and measure_threshold fixed at 3.0. CAST to REAL because the schema stores this field as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7741d3b6e2d60769/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12325228db462d88e4117b63aea2a40f2e7ba2d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10441, "bytes_utf8": 10441, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 393, "bytes_utf8": 393, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 458, "reasoning_output_tokens": 360}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..69523fe812711b66e940feedf1d971ae0f402af9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_78883416f1d3610e", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 458, + "total_tokens": 15398, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11323.69, + "sql_execution_elapsed_ms_total": 4.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee4872faf8d2841a0d0a6d20326938297ad2e6f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:37.291618+00:00", + "ended_at": "2026-05-19T15:28:48.615332+00:00", + "elapsed_ms": 11323.69, + "prompt_metrics": { + "chars": 10441, + "bytes_utf8": 10441, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 747, + "bytes_utf8": 747, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 393, + "bytes_utf8": 393, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 458, + "reasoning_output_tokens": 360 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1e04c49e98920f8beabe9a2ee40b53adbee6b68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Informational, measure_col=Administrative_Duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Informational", + "measure_col": "Administrative_Duration", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a57e7a5dc2eadbf5d9828a7f233eb179b308aa16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-6ea4-7481-928c-a0bc997cdf76"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Informational\\\", SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested Grouped Numeric Sum template with \\\"Informational\\\" as the grouping column and casts TEXT-valued \\\"Administrative_Duration\\\" to REAL before summing in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14940,"cached_input_tokens":12032,"output_tokens":458,"reasoning_output_tokens":360}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7df460e76747bd0bbc328127208456fbb233dc3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Informational\", SUM(CAST(\"Administrative_Duration\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY total_measure DESC;","notes":"Uses the requested Grouped Numeric Sum template with \"Informational\" as the grouping column and casts TEXT-valued \"Administrative_Duration\" to REAL before summing in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_78883416f1d3610e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b96e8e1dcbd24302e088c08091704066000de34b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10571, "bytes_utf8": 10571, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10571, "bytes_utf8": 10571, "lines": 312, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1051, "bytes_utf8": 1051, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14973, "cached_input_tokens": 12032, "output_tokens": 838, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c9d40ce264e731fb58fb22d94d6a63ce8c4dff01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_7a18fd0bc1236464", + "api_calls": 0, + "input_tokens": 14973, + "cached_input_tokens": 12032, + "output_tokens": 838, + "total_tokens": 15811, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24400.51, + "sql_execution_elapsed_ms_total": 63.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f870ea33f69647afe151de050381d6888e57bc2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:02.228026+00:00", + "ended_at": "2026-05-19T15:57:05.492501+00:00", + "elapsed_ms": 3264.45, + "returncode": 1, + "prompt_metrics": { + "chars": 10571, + "bytes_utf8": 10571, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..193b0f8c39b9ffa990729847dd6f294a40b4fbf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:06.494761+00:00", + "ended_at": "2026-05-19T15:57:27.630868+00:00", + "elapsed_ms": 21136.06, + "prompt_metrics": { + "chars": 10571, + "bytes_utf8": 10571, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1534, + "bytes_utf8": 1534, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1051, + "bytes_utf8": 1051, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14973, + "cached_input_tokens": 12032, + "output_tokens": 838, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f119f7487d86ec13b93527c42d9f43435c329956 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Month, measure_col=ExitRates.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Month", + "measure_col": "ExitRates", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f119f7487d86ec13b93527c42d9f43435c329956 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Month, measure_col=ExitRates.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Month", + "measure_col": "ExitRates", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71048afddebe521da230d233ddffa4c40fbc2d35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-72b1-7430-acbb-d8b554d7ee63"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3a3879cd216be2cefd9cb34531be710270277a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-72b1-7430-acbb-d8b554d7ee63"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0aca5b65e5a871c831e1c7cd941f1a42efa50256 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-8356-7953-891f-efd087d29808"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Month\\\",\\n CAST(\\\"ExitRates\\\" AS REAL) AS \\\"exit_rate\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Month\\\"\\n ORDER BY CAST(\\\"ExitRates\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Month\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Month\\\" IS NOT NULL\\n AND \\\"ExitRates\\\" IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"Month\\\",\\n \\\"exit_rate\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.9 * \\\"cnt\\\") AS INTEGER) + CASE\\n WHEN (0.9 * \\\"cnt\\\") > CAST((0.9 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"Month\\\",\\n \\\"exit_rate\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"targets\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \\\"Month\\\" over CAST(\\\"ExitRates\\\" AS REAL), preserving the grouped percentile-point intent of the template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14973,"cached_input_tokens":12032,"output_tokens":838,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c85d823b2cbe20218883394171f606ed8dd19c4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Month\",\n CAST(\"ExitRates\" AS REAL) AS \"exit_rate\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Month\"\n ORDER BY CAST(\"ExitRates\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Month\"\n ) AS \"cnt\"\n FROM \"m6\"\n WHERE \"Month\" IS NOT NULL\n AND \"ExitRates\" IS NOT NULL\n),\n\"targets\" AS (\n SELECT\n \"Month\",\n \"exit_rate\",\n \"rn\",\n \"cnt\",\n CAST((0.9 * \"cnt\") AS INTEGER) + CASE\n WHEN (0.9 * \"cnt\") > CAST((0.9 * \"cnt\") AS INTEGER) THEN 1\n ELSE 0\n END AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"Month\",\n \"exit_rate\" AS \"percentile_measure\"\nFROM \"targets\"\nWHERE \"rn\" = \"target_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \"Month\" over CAST(\"ExitRates\" AS REAL), preserving the grouped percentile-point intent of the template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7a18fd0bc1236464/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d14385a69950d467acc12f44c765d03718802fc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:52.596664+00:00", + "ended_at": "2026-05-19T15:52:56.094693+00:00", + "elapsed_ms": 3498.0, + "returncode": 1, + "prompt_metrics": { + "chars": 10600, + "bytes_utf8": 10600, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0fd66385d382e8a9be948fd2f4fc93e72f453c30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:57.096484+00:00", + "ended_at": "2026-05-19T15:53:00.226807+00:00", + "elapsed_ms": 3130.28, + "returncode": 1, + "prompt_metrics": { + "chars": 10600, + "bytes_utf8": 10600, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4f2afc6a125205c55ab6918a60d6c8997811c15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Revenue, measure_col=Informational_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Revenue", + "measure_col": "Informational_Duration", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4f2afc6a125205c55ab6918a60d6c8997811c15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Revenue, measure_col=Informational_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Revenue", + "measure_col": "Informational_Duration", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7733d3fb27f9488a40012d3fa6eca27d10cd19cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-a38c-7413-b326-9137f2f1a200"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2e42116ea59fae2d99e9afcfed62ff325562ac5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-a38c-7413-b326-9137f2f1a200"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a6f2c465df31195be25d691078cd1326a994ab1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-b52d-7c42-a01a-8d4b564e926c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6794f9e96230c9250ff85ed461ebd0d6b7d0f023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-b52d-7c42-a01a-8d4b564e926c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7afe6ee9de7f9a7e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96985eadc758c1e92b78b269ecaf1d2d822488b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10411, "bytes_utf8": 10411, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 396, "bytes_utf8": 396, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 274, "reasoning_output_tokens": 173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f27dbf557eebf8d7aa6d33980bd1986860bef3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_7f1f30e7af801c65", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 274, + "total_tokens": 15211, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7899.5, + "sql_execution_elapsed_ms_total": 10.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7105e552f9623cb8a16898e39d20068d18c6a7a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:00.365897+00:00", + "ended_at": "2026-05-19T15:29:08.265433+00:00", + "elapsed_ms": 7899.5, + "prompt_metrics": { + "chars": 10411, + "bytes_utf8": 10411, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 750, + "bytes_utf8": 750, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 396, + "bytes_utf8": 396, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 274, + "reasoning_output_tokens": 173 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2874d2dd2f5439d23a0ce65d419040a03e15303c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=SpecialDay, measure_col=Informational.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "Informational", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4300e834da5a0e598209cbe4ea4fab41712309c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-c8d8-7213-a574-bffe2512d43c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"SpecialDay\\\", SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"SpecialDay\\\" and measure_col=\\\"Informational\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14937,"cached_input_tokens":12032,"output_tokens":274,"reasoning_output_tokens":173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31ee4625b0787ab757de6fd45ab36743e91df82f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"SpecialDay\", SUM(CAST(\"Informational\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"SpecialDay\"\nORDER BY total_measure DESC;","notes":"Used the required grouped-sum template with group_col=\"SpecialDay\" and measure_col=\"Informational\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_7f1f30e7af801c65/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..272984562942b9d73d812ea6c213b8c28da941d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10957, "bytes_utf8": 10957, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 674, "bytes_utf8": 674, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15071, "cached_input_tokens": 13696, "output_tokens": 694, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0da67da41632a895dbf41e257b9b41956515883 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_8080689d258d5975", + "api_calls": 0, + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 694, + "total_tokens": 15765, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20035.4, + "sql_execution_elapsed_ms_total": 6.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2fae9820ce3d176f0ef0f75a15dc7993e0a51409 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:34.421899+00:00", + "ended_at": "2026-05-19T15:44:54.457334+00:00", + "elapsed_ms": 20035.4, + "prompt_metrics": { + "chars": 10957, + "bytes_utf8": 10957, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1402, + "bytes_utf8": 1402, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 674, + "bytes_utf8": 674, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 694, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffad7b38ef6027b48b220d5d52d8004a0d289a83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Region, measure_col=Informational.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Region", + "measure_col": "Informational", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..65a607fc167691e276199e19c7a26db82d7f2d96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-0989-72c2-9f5c-417266e592b0"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15706. Please try again in 471ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Region\\\", SUM(CAST(\\\"Informational\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Region\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"Region\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested Relative-to-Total Extreme Threshold template with group_col=\\\"Region\\\" and measure_col=\\\"Informational\\\". CAST to REAL is applied because the schema stores numeric values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15071,"cached_input_tokens":13696,"output_tokens":694,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9af9d27837a4dce334d44c8fd66f2a8d8d43b056 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Region\", SUM(CAST(\"Informational\" AS REAL)) AS \"group_value\"\n FROM \"m6\"\n GROUP BY \"Region\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"Region\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the requested Relative-to-Total Extreme Threshold template with group_col=\"Region\" and measure_col=\"Informational\". CAST to REAL is applied because the schema stores numeric values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8080689d258d5975/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bc2abfcd1dbc298076a05568215c5e62803c090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10314, "bytes_utf8": 10314, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 292, "bytes_utf8": 292, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14910, "cached_input_tokens": 12032, "output_tokens": 388, "reasoning_output_tokens": 306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f86fe097726f1b622522e8c98219c28669d034cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_8328f2a3f7d2b415", + "api_calls": 0, + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 388, + "total_tokens": 15298, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14073.0, + "sql_execution_elapsed_ms_total": 4.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c63c4ba380c9f050453fef1886be91bdfcf554c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:13.764354+00:00", + "ended_at": "2026-05-19T15:33:27.837382+00:00", + "elapsed_ms": 14073.0, + "prompt_metrics": { + "chars": 10314, + "bytes_utf8": 10314, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 982, + "bytes_utf8": 982, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 292, + "bytes_utf8": 292, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 388, + "reasoning_output_tokens": 306 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..05c008e0770bc253bd5dfe33e746ac2d4bd1f5e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=TrafficType.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "TrafficType", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6bf971c34b5a3645bd0618e94a849cae3ce9ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-a6b0-7670-b017-d23556afd929"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985459, Requested 15545. Please try again in 30ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"TrafficType\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"TrafficType\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"TrafficType\\\" on the single table \\\"m6\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14910,"cached_input_tokens":12032,"output_tokens":388,"reasoning_output_tokens":306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e0acf41d8ded1df9f75fa88117b81e82a69be72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count.\nSELECT \"TrafficType\", COUNT(*) AS \"row_count\"\nFROM \"m6\"\nGROUP BY \"TrafficType\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"TrafficType\" on the single table \"m6\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8328f2a3f7d2b415/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d1b0ebea89b74de638e5e50fe5e278fe9ba7cef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_865e7c5122e89b17/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:22.796186+00:00", + "ended_at": "2026-05-19T16:08:25.523674+00:00", + "elapsed_ms": 2727.46, + "returncode": 1, + "prompt_metrics": { + "chars": 10474, + "bytes_utf8": 10474, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b5dbe26dbefb55fcdd422ae1e40669a8ab9affae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11215, "bytes_utf8": 11215, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 744, "bytes_utf8": 744, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15148, "cached_input_tokens": 14720, "output_tokens": 530, "reasoning_output_tokens": 331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f1a0d93eb629ba4d830ad7ee27562970d89199a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_87216b27837d2d87", + "api_calls": 0, + "input_tokens": 15148, + "cached_input_tokens": 14720, + "output_tokens": 530, + "total_tokens": 15678, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11450.56, + "sql_execution_elapsed_ms_total": 6.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4d2dc44d8d848246fd543fce0603e65d1c47cfa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:38.884674+00:00", + "ended_at": "2026-05-19T15:39:50.335252+00:00", + "elapsed_ms": 11450.56, + "prompt_metrics": { + "chars": 11215, + "bytes_utf8": 11215, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1113, + "bytes_utf8": 1113, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 744, + "bytes_utf8": 744, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15148, + "cached_input_tokens": 14720, + "output_tokens": 530, + "reasoning_output_tokens": 331 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cd60282e184233e70ac868c6799fa36723e8e8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=TrafficType, condition_col=SpecialDay.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "TrafficType", + "condition_col": "SpecialDay", + "condition_value": "0", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7de34043636af20d1e88d36a663354fb9541b0cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-86ff-70e2-b3f9-65918c2a6205"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"TrafficType\\\",\\n SUM(CASE WHEN \\\"SpecialDay\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"SpecialDay\\\" = '0.6' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"TrafficType\\\"\\n)\\nSELECT \\\"TrafficType\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"TrafficType\\\" and condition_col=\\\"SpecialDay\\\". The ratio is count(SpecialDay='0') divided by count(SpecialDay='0.6') within each TrafficType; groups with zero denominator return NULL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15148,"cached_input_tokens":14720,"output_tokens":530,"reasoning_output_tokens":331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3080d0c3c2425b3e3e903a2f77748073330a5092 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"TrafficType\",\n SUM(CASE WHEN \"SpecialDay\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"SpecialDay\" = '0.6' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"TrafficType\"\n)\nSELECT \"TrafficType\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with group_col=\"TrafficType\" and condition_col=\"SpecialDay\". The ratio is count(SpecialDay='0') divided by count(SpecialDay='0.6') within each TrafficType; groups with zero denominator return NULL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_87216b27837d2d87/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d1aaf3e61cfc8d6e9979f8c69b3d5d001cff8aac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10570, "bytes_utf8": 10570, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 497, "bytes_utf8": 497, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14990, "cached_input_tokens": 13696, "output_tokens": 446, "reasoning_output_tokens": 306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d4d9b00eb94e927a029b9a817bc75774fe4ac8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_889ace9f8e3099d1", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 446, + "total_tokens": 15436, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9915.3, + "sql_execution_elapsed_ms_total": 26.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..580dde0cf4a34ddfb20b1266cb8b7636a21ef39b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:23.173302+00:00", + "ended_at": "2026-05-19T15:43:33.088645+00:00", + "elapsed_ms": 9915.3, + "prompt_metrics": { + "chars": 10570, + "bytes_utf8": 10570, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 868, + "bytes_utf8": 868, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 497, + "bytes_utf8": 497, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 446, + "reasoning_output_tokens": 306 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..74ad435d074af21f668bc7cfe53754284c302c47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ExitRates.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ExitRates", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.05, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1abe991a2dbb87d8bae1a6f844b5b9748d71b919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-f343-7b60-ae20-0186e3eb1fb7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"ExitRates\\\" AS REAL) AS \\\"ExitRates\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ExitRates\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"ExitRates\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"ExitRates\\\" DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with measure_col bound to \\\"ExitRates\\\" and casts the TEXT column to REAL so the top decile is computed numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14990,"cached_input_tokens":13696,"output_tokens":446,"reasoning_output_tokens":306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f06a81d8e85f5ebd7c664b8abad863644ae3f21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"ExitRates\" AS REAL) AS \"ExitRates\",\n NTILE(10) OVER (ORDER BY CAST(\"ExitRates\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m6\"\n)\nSELECT \"ExitRates\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"ExitRates\" DESC;","notes":"Uses the Quantile Tail Slice template with measure_col bound to \"ExitRates\" and casts the TEXT column to REAL so the top decile is computed numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_889ace9f8e3099d1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c19f18ea922d6b01b1e74e563bd91dd837a01f44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_8c8c011e5e338864", + "api_calls": 0, + "input_tokens": 15003, + "cached_input_tokens": 12032, + "output_tokens": 396, + "total_tokens": 15399, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14991.08, + "sql_execution_elapsed_ms_total": 12.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab1f0f5bcee61386089993ab28b9226022b51706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Month, condition_col=VisitorType.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Month", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..819c7083969f555bfbe978c936de09d66d2cec71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-8c4f-7d72-9de6-f4945fa0e5cb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c93b454cddb3988367eb5d174ce274c2511fe6d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-9e0f-7051-8705-e357acdb553f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Month\\\",\\n AVG(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped by Month and computes the within-month proportion of rows where VisitorType is Returning_Visitor.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15003,"cached_input_tokens":12032,"output_tokens":396,"reasoning_output_tokens":293}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8c8c011e5e338864/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd8d493511e6840101bf6090159fd9f7105f3b4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10302, "bytes_utf8": 10302, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 271, "bytes_utf8": 271, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14908, "cached_input_tokens": 12032, "output_tokens": 214, "reasoning_output_tokens": 145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6f4c0d9b5791f9e13a9fa49d12eef3316c61300e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_8ea26ffc8162ee58", + "api_calls": 0, + "input_tokens": 14908, + "cached_input_tokens": 12032, + "output_tokens": 214, + "total_tokens": 15122, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14362.97, + "sql_execution_elapsed_ms_total": 4.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a049aa571134840c5bfc0dbb20e15db4a4bbb931 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:59.392957+00:00", + "ended_at": "2026-05-19T15:33:13.755948+00:00", + "elapsed_ms": 14362.97, + "prompt_metrics": { + "chars": 10302, + "bytes_utf8": 10302, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 950, + "bytes_utf8": 950, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 271, + "bytes_utf8": 271, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14908, + "cached_input_tokens": 12032, + "output_tokens": 214, + "reasoning_output_tokens": 145 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e63a411eba80a0ea271352685b3e0bad1e626d25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=Region.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "Region", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f442295c4f1158b7d3026a7ebf5d8dcc2bf71360 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-6e82-7241-afd8-3851f7cb19fc"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989568, Requested 15543. Please try again in 153ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Region\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by category for \\\"Region\\\" using the planned template to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14908,"cached_input_tokens":12032,"output_tokens":214,"reasoning_output_tokens":145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5ae2c74db3a7aee11b636529b8a83a1718133f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"Region\", COUNT(*) AS row_count\nFROM \"m6\"\nGROUP BY \"Region\"\nORDER BY row_count DESC;","notes":"Grouped count by category for \"Region\" using the planned template to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_8ea26ffc8162ee58/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5626d3db5232a92c359805a81fd4344bc398d547 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10386, "bytes_utf8": 10386, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10386, "bytes_utf8": 10386, "lines": 310, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 305, "bytes_utf8": 305, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14944, "cached_input_tokens": 13696, "output_tokens": 278, "reasoning_output_tokens": 189}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..024c703b1bc14c68e785b1965b8b0b0ee15714cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9528f048ebbe7e55", + "api_calls": 0, + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 278, + "total_tokens": 15222, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11022.36, + "sql_execution_elapsed_ms_total": 4.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..865218ea07ecdb6763e582c9155bfc3260fc944a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:25.875078+00:00", + "ended_at": "2026-05-19T16:04:28.877432+00:00", + "elapsed_ms": 3002.32, + "returncode": 1, + "prompt_metrics": { + "chars": 10386, + "bytes_utf8": 10386, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..567997978bf802794b5636610c76aaa594a75b8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:29.879911+00:00", + "ended_at": "2026-05-19T16:04:37.900035+00:00", + "elapsed_ms": 8020.04, + "prompt_metrics": { + "chars": 10386, + "bytes_utf8": 10386, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 658, + "bytes_utf8": 658, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 305, + "bytes_utf8": 305, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 278, + "reasoning_output_tokens": 189 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4aa06a311fb1038a854ff923f136c4d8fab39e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Revenue.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Revenue", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4aa06a311fb1038a854ff923f136c4d8fab39e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Revenue.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Revenue", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..11c5e76df441feb577230ef8a97027c62d001881 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-37a9-7793-9a76-96d87bfa2ea8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b686a444e8e3de1b3b9f0ea3401074f07c29da84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-37a9-7793-9a76-96d87bfa2ea8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0bd3a4e363f1d304fdafc3ddcfeeb6af47f2ab1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-475d-7971-a063-790ede5ea1db"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Revenue\\\",\\n COUNT(*) AS support\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Revenue\\\"\\nORDER BY support ASC, \\\"Revenue\\\"\\nLIMIT 15;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"Revenue\\\" and top_k set to 15.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14944,"cached_input_tokens":13696,"output_tokens":278,"reasoning_output_tokens":189}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8034f33642e907d889bf34cba763052cbfd9427 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Revenue\",\n COUNT(*) AS support\nFROM \"m6\"\nGROUP BY \"Revenue\"\nORDER BY support ASC, \"Revenue\"\nLIMIT 15;","notes":"Applies the Low-Support Group Count template with group_col bound to \"Revenue\" and top_k set to 15."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9528f048ebbe7e55/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..40a92fa75e4f88b8c167f9cce14c147512c97c0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:58.016389+00:00", + "ended_at": "2026-05-19T16:02:00.921158+00:00", + "elapsed_ms": 2904.73, + "returncode": 1, + "prompt_metrics": { + "chars": 10666, + "bytes_utf8": 10666, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..39df1139ca666e5e3ad0b8508ca5eab116e63091 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:01.922764+00:00", + "ended_at": "2026-05-19T16:02:05.176265+00:00", + "elapsed_ms": 3253.47, + "returncode": 1, + "prompt_metrics": { + "chars": 10666, + "bytes_utf8": 10666, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cae13b8a946909e6f8937e2847adfb00c957457e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=OperatingSystems, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "OperatingSystems", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cae13b8a946909e6f8937e2847adfb00c957457e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=OperatingSystems, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "OperatingSystems", + "condition_col": "Weekend", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a99c7d8a2442597c099ebecf458639dbdbfe3b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-f615-7221-96fd-e05101eacf15"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aadfa2466d45b8c3bdf5ba44b5433342d16d4322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-f615-7221-96fd-e05101eacf15"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0305958c2a9e2e7a9ca1fdc89fd27af2e9085dc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-055c-7011-a52e-ae0c9e5671e1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c52296f8787a03a9ddaf497c51531377eb38797 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-055c-7011-a52e-ae0c9e5671e1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_97476502fac78a42/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c773dc95f2e96d690650c686a312974ebb550a50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:02.137682+00:00", + "ended_at": "2026-05-19T16:07:07.730565+00:00", + "elapsed_ms": 5592.85, + "returncode": 1, + "prompt_metrics": { + "chars": 10498, + "bytes_utf8": 10498, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..87a071d137b1549fb3fb96056e8a6efeb54b672b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:08.732140+00:00", + "ended_at": "2026-05-19T16:07:11.726096+00:00", + "elapsed_ms": 2993.91, + "returncode": 1, + "prompt_metrics": { + "chars": 10498, + "bytes_utf8": 10498, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb0fee8acb6677da3dfa04de55a98d9a6332b32a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Informational, measure_col=ExitRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Informational", + "measure_col": "ExitRates", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb0fee8acb6677da3dfa04de55a98d9a6332b32a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Informational, measure_col=ExitRates.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Informational", + "measure_col": "ExitRates", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..023364ca3b5333b28db61b7ed06b83ae5fd72690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9a00-7e63-9b83-c5639c4acb64"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c765dafb781c4721921cfe0452198e171ead6266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9a00-7e63-9b83-c5639c4acb64"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..636a2294e68edb14447020f4b9bc9a57a3b55348 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b3b4-7570-9a90-1a3682926950"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9fe8ffd547117ed2b55e3da49acac50af502f44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b3b4-7570-9a90-1a3682926950"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c37db3da261f85c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c87918e24ba340378e888c232710b31d045aacd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10828, "bytes_utf8": 10828, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 682, "bytes_utf8": 682, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15056, "cached_input_tokens": 13696, "output_tokens": 618, "reasoning_output_tokens": 439}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..74678394cebe4055e870cf0cfa32ae80b6d03439 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9c9c4ddf197b2e87", + "api_calls": 0, + "input_tokens": 15056, + "cached_input_tokens": 13696, + "output_tokens": 618, + "total_tokens": 15674, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14036.33, + "sql_execution_elapsed_ms_total": 12.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5a77ec1b10173bbcb0e126593b5b6a382b3cfbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:29.253577+00:00", + "ended_at": "2026-05-19T15:38:43.289953+00:00", + "elapsed_ms": 14036.33, + "prompt_metrics": { + "chars": 10828, + "bytes_utf8": 10828, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1066, + "bytes_utf8": 1066, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 682, + "bytes_utf8": 682, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15056, + "cached_input_tokens": 13696, + "output_tokens": 618, + "reasoning_output_tokens": 439 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..869a6f83fde1f9de52409e8d3fbd86220a20cff2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Informational, measure_col=BounceRates.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Informational", + "measure_col": "BounceRates", + "item_col": "TrafficType", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d52c412fcc128cf86b852990855a9f033e90c382 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Informational\", \"TrafficType\",\n SUM(CAST(NULLIF(\"BounceRates\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"BounceRates\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"BounceRates\", '') AS REAL))) OVER (PARTITION BY \"Informational\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Informational\", \"TrafficType\"\nORDER BY share_within_group DESC;","notes":"Instantiated the Within-Group Share of Total template with group_col=\"Informational\", item_col=\"TrafficType\", and measure_col=\"BounceRates\". \"BounceRates\" is cast from TEXT to REAL using NULLIF for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9c9c4ddf197b2e87/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f7051895d662bb2b1bda70596b6a5792e0c13336 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10655, "bytes_utf8": 10655, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14995, "cached_input_tokens": 13696, "output_tokens": 290, "reasoning_output_tokens": 183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b1d237a27b8416bee05691107ad8dec552928d2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9cd82ef9eb0976b8", + "api_calls": 0, + "input_tokens": 14995, + "cached_input_tokens": 13696, + "output_tokens": 290, + "total_tokens": 15285, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7907.72, + "sql_execution_elapsed_ms_total": 5.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..92134f7f14b58ccab48742e5d3e2853ce8f7c33d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:26.874803+00:00", + "ended_at": "2026-05-19T16:02:34.782544+00:00", + "elapsed_ms": 7907.72, + "prompt_metrics": { + "chars": 10655, + "bytes_utf8": 10655, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 761, + "bytes_utf8": 761, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 406, + "bytes_utf8": 406, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14995, + "cached_input_tokens": 13696, + "output_tokens": 290, + "reasoning_output_tokens": 183 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1d25626561389055985583fcaa932fdc37d9906 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Browser, condition_col=Revenue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Browser", + "condition_col": "Revenue", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc2c0f3f6acf661d67b33f5db85a177477addad4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-66be-7352-9fe7-b45ad285ae0e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Browser\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'TRUE' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=Browser and condition_col=Revenue, measuring the share of rows where Revenue is TRUE within each Browser group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14995,"cached_input_tokens":13696,"output_tokens":290,"reasoning_output_tokens":183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..484594b80934a32348677d882e15c45f4fa91fc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Browser\",\n AVG(CASE WHEN \"Revenue\" = 'TRUE' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the Grouped Condition Rate template with group_col=Browser and condition_col=Revenue, measuring the share of rows where Revenue is TRUE within each Browser group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9cd82ef9eb0976b8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..18d3a9920fbfbb01647ba82405149b9b51416df0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10861, "bytes_utf8": 10861, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 599, "reasoning_output_tokens": 437}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1dda3c21cd2422107ff32efe6179b60b52141c3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_9f7f1dafeeccfc12", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 599, + "total_tokens": 15659, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11672.17, + "sql_execution_elapsed_ms_total": 19.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d74593344bddc412fa3bff7ca9d3899ffac86b90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:04.193242+00:00", + "ended_at": "2026-05-19T15:38:15.865446+00:00", + "elapsed_ms": 11672.17, + "prompt_metrics": { + "chars": 10861, + "bytes_utf8": 10861, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 998, + "bytes_utf8": 998, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 624, + "bytes_utf8": 624, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 599, + "reasoning_output_tokens": 437 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d0af3a771c48b4e063789fb60d28c29241d8849 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Administrative, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Administrative", + "measure_col": "ProductRelated_Duration", + "item_col": "PageValues", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1059.697712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc106a65a6ba32e08275a690e55f67f7762a54b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-1512-7e03-bd94-8a0b5cf372d8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Administrative\\\",\\n \\\"PageValues\\\",\\n SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"Administrative\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\", \\\"PageValues\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template and bound roles exactly as provided. CAST(\\\"ProductRelated_Duration\\\" AS REAL) is applied because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":12032,"output_tokens":599,"reasoning_output_tokens":437}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb9c5e334a62dc370540ea5e38225ceb5c2554a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share.\nSELECT\n \"Administrative\",\n \"PageValues\",\n SUM(CAST(\"ProductRelated_Duration\" AS REAL)) AS total_measure,\n SUM(CAST(\"ProductRelated_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ProductRelated_Duration\" AS REAL))) OVER (PARTITION BY \"Administrative\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Administrative\", \"PageValues\"\nORDER BY share_within_group DESC;","notes":"Used the required template and bound roles exactly as provided. CAST(\"ProductRelated_Duration\" AS REAL) is applied because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_9f7f1dafeeccfc12/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9fc17990051951d585d1c1ae34ab5053446296d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10804, "bytes_utf8": 10804, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 597, "bytes_utf8": 597, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15052, "cached_input_tokens": 12032, "output_tokens": 673, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4db6b91d4914bf7d17932315058a8bf9dbca4d31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_aad27eb76980cc37", + "api_calls": 0, + "input_tokens": 15052, + "cached_input_tokens": 12032, + "output_tokens": 673, + "total_tokens": 15725, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18088.8, + "sql_execution_elapsed_ms_total": 22.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fd5aafccc826709af6e7293ec3fe7c419c32575e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:18.481037+00:00", + "ended_at": "2026-05-19T15:34:36.569878+00:00", + "elapsed_ms": 18088.8, + "prompt_metrics": { + "chars": 10804, + "bytes_utf8": 10804, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 977, + "bytes_utf8": 977, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 597, + "bytes_utf8": 597, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15052, + "cached_input_tokens": 12032, + "output_tokens": 673, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..214cad54f8754ca0c11dc180ed359672b7938ee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Month, measure_col=Browser.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Month", + "measure_col": "Browser", + "item_col": "TrafficType", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f08cb8bd5a4eeefd8b50dc39f9166dc5226f678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-a38b-7783-b2f9-7f9d2a400ca5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Month\\\", \\\"TrafficType\\\",\\n SUM(CAST(\\\"Browser\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Browser\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Browser\\\" AS REAL))) OVER (PARTITION BY \\\"Month\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\", \\\"TrafficType\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided within-group share template with group_col=\\\"Month\\\", item_col=\\\"TrafficType\\\", and measure_col=\\\"Browser\\\". CAST to REAL is used because the schema snapshot stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15052,"cached_input_tokens":12032,"output_tokens":673,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..edc7aad979e5a8d40b37e3e554baf15dbf2fb01f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Month\", \"TrafficType\",\n SUM(CAST(\"Browser\" AS REAL)) AS total_measure,\n SUM(CAST(\"Browser\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Browser\" AS REAL))) OVER (PARTITION BY \"Month\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Month\", \"TrafficType\"\nORDER BY share_within_group DESC;","notes":"Applied the provided within-group share template with group_col=\"Month\", item_col=\"TrafficType\", and measure_col=\"Browser\". CAST to REAL is used because the schema snapshot stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aad27eb76980cc37/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1adc43269fd5fd9caf7873cdc9b04fcd7555c966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10604, "bytes_utf8": 10604, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1880, "bytes_utf8": 1880, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14977, "cached_input_tokens": 12032, "output_tokens": 2444, "reasoning_output_tokens": 1802}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..438bc76e86adb1792e84008b9a51aab73ec94f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_aaf9fc2cac9e925d", + "api_calls": 0, + "input_tokens": 14977, + "cached_input_tokens": 12032, + "output_tokens": 2444, + "total_tokens": 17421, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35811.41, + "sql_execution_elapsed_ms_total": 46.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b301ef3d797ff3ccae4e3831d537926c38c1a088 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:00.231109+00:00", + "ended_at": "2026-05-19T15:53:36.042552+00:00", + "elapsed_ms": 35811.41, + "prompt_metrics": { + "chars": 10604, + "bytes_utf8": 10604, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2491, + "bytes_utf8": 2491, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1880, + "bytes_utf8": 1880, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14977, + "cached_input_tokens": 12032, + "output_tokens": 2444, + "reasoning_output_tokens": 1802 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82fb83d77757df7eda7c02396c1bedb747f40f95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Revenue, measure_col=Informational_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Revenue", + "measure_col": "Informational_Duration", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b33baed195b81efac7cdceae37ffa1fd5f5b5e3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-c147-72f2-8b5a-c7a1fc4b1014"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"Revenue\\\" AS \\\"group_col\\\",\\n CAST(\\\"Informational_Duration\\\" AS REAL) AS \\\"measure_col\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Revenue\\\" IS NOT NULL\\n AND TRIM(\\\"Revenue\\\") <> ''\\n AND \\\"Informational_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Informational_Duration\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"group_col\\\"\\n ORDER BY \\\"measure_col\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"group_col\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"filtered\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n (1.0 + ((\\\"cnt\\\" - 1) * 0.95)) AS \\\"pos\\\",\\n CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.95)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + ((\\\"cnt\\\" - 1) * 0.95)) = CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.95)) AS INTEGER)\\n THEN CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.95)) AS INTEGER)\\n ELSE CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.95)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"Revenue\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN r1.\\\"measure_col\\\"\\n ELSE r1.\\\"measure_col\\\" + ((p.\\\"pos\\\" - p.\\\"lower_rn\\\") * (r2.\\\"measure_col\\\" - r1.\\\"measure_col\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS p\\nJOIN \\\"ranked\\\" AS r1\\n ON r1.\\\"group_col\\\" = p.\\\"group_col\\\"\\n AND r1.\\\"rn\\\" = p.\\\"lower_rn\\\"\\nJOIN \\\"ranked\\\" AS r2\\n ON r2.\\\"group_col\\\" = p.\\\"group_col\\\"\\n AND r2.\\\"rn\\\" = p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions, grouped by \\\"Revenue\\\" over \\\"Informational_Duration\\\" cast from TEXT to REAL. Null/blank values are excluded, and only groups with at least 5 rows are kept.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14977,"cached_input_tokens":12032,"output_tokens":2444,"reasoning_output_tokens":1802}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b022a721273a4eaa63098462f11f1d310a408a76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"filtered\" AS (\n SELECT\n \"Revenue\" AS \"group_col\",\n CAST(\"Informational_Duration\" AS REAL) AS \"measure_col\"\n FROM \"m6\"\n WHERE \"Revenue\" IS NOT NULL\n AND TRIM(\"Revenue\") <> ''\n AND \"Informational_Duration\" IS NOT NULL\n AND TRIM(\"Informational_Duration\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"group_col\",\n \"measure_col\",\n ROW_NUMBER() OVER (\n PARTITION BY \"group_col\"\n ORDER BY \"measure_col\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"group_col\"\n ) AS \"cnt\"\n FROM \"filtered\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"cnt\",\n (1.0 + ((\"cnt\" - 1) * 0.95)) AS \"pos\",\n CAST((1.0 + ((\"cnt\" - 1) * 0.95)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + ((\"cnt\" - 1) * 0.95)) = CAST((1.0 + ((\"cnt\" - 1) * 0.95)) AS INTEGER)\n THEN CAST((1.0 + ((\"cnt\" - 1) * 0.95)) AS INTEGER)\n ELSE CAST((1.0 + ((\"cnt\" - 1) * 0.95)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n p.\"group_col\" AS \"Revenue\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN r1.\"measure_col\"\n ELSE r1.\"measure_col\" + ((p.\"pos\" - p.\"lower_rn\") * (r2.\"measure_col\" - r1.\"measure_col\"))\n END AS \"percentile_measure\"\nFROM \"positions\" AS p\nJOIN \"ranked\" AS r1\n ON r1.\"group_col\" = p.\"group_col\"\n AND r1.\"rn\" = p.\"lower_rn\"\nJOIN \"ranked\" AS r2\n ON r2.\"group_col\" = p.\"group_col\"\n AND r2.\"rn\" = p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions, grouped by \"Revenue\" over \"Informational_Duration\" cast from TEXT to REAL. Null/blank values are excluded, and only groups with at least 5 rows are kept."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_aaf9fc2cac9e925d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f9df7610ee4004fe10e645ceda6ed36099f5fd1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:46.282974+00:00", + "ended_at": "2026-05-19T16:08:50.092059+00:00", + "elapsed_ms": 3809.04, + "returncode": 1, + "prompt_metrics": { + "chars": 10490, + "bytes_utf8": 10490, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f10819e9fb23fcd022f66aecbb1e25965154feef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=TrafficType, measure_col=TrafficType.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "TrafficType", + "measure_col": "TrafficType", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f10819e9fb23fcd022f66aecbb1e25965154feef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=TrafficType, measure_col=TrafficType.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "TrafficType", + "measure_col": "TrafficType", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5704e0d240d8bee972ec71c47c1a256f68ca6fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-30bf-7a00-aaac-f386fc7fdafd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06221088f22f1e72d8d44c1e0b2df43ebfdb232f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-43a8-7703-a4e4-fd1e225fea29"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ae95979b5336d92f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f15cfd71bfea3e0ad96504b81c6170fd1dd34214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10829, "bytes_utf8": 10829, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 641, "bytes_utf8": 641, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15056, "cached_input_tokens": 13696, "output_tokens": 577, "reasoning_output_tokens": 411}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..36924406267b6778c5974958267e9170cb5e06aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_af6ec7b3999365cc", + "api_calls": 0, + "input_tokens": 15056, + "cached_input_tokens": 13696, + "output_tokens": 577, + "total_tokens": 15633, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12023.01, + "sql_execution_elapsed_ms_total": 15.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a905397e7bead72d762a175e1be0f2c5f2fb35e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:43.633627+00:00", + "ended_at": "2026-05-19T15:33:55.656659+00:00", + "elapsed_ms": 12023.01, + "prompt_metrics": { + "chars": 10829, + "bytes_utf8": 10829, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1021, + "bytes_utf8": 1021, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 641, + "bytes_utf8": 641, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15056, + "cached_input_tokens": 13696, + "output_tokens": 577, + "reasoning_output_tokens": 411 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d4f58eea976204b2936c808aad63a37df162510 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=SpecialDay, measure_col=OperatingSystems.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "SpecialDay", + "measure_col": "OperatingSystems", + "item_col": "PageValues", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3481250e3a02a20f8e3101e7da2870666b3c1310 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-1b68-7880-8934-430924a09afd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"SpecialDay\\\", \\\"PageValues\\\",\\n SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"OperatingSystems\\\" AS REAL))) OVER (PARTITION BY \\\"SpecialDay\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\", \\\"PageValues\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"SpecialDay\\\", item_col=\\\"PageValues\\\", and measure_col=\\\"OperatingSystems\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15056,"cached_input_tokens":13696,"output_tokens":577,"reasoning_output_tokens":411}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c315a75e6d7d8464bcc08748557bbbb2b74a2231 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"SpecialDay\", \"PageValues\",\n SUM(CAST(\"OperatingSystems\" AS REAL)) AS total_measure,\n SUM(CAST(\"OperatingSystems\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"OperatingSystems\" AS REAL))) OVER (PARTITION BY \"SpecialDay\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"SpecialDay\", \"PageValues\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"SpecialDay\", item_col=\"PageValues\", and measure_col=\"OperatingSystems\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_af6ec7b3999365cc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..919f093021ff413a87f323b4343bc02edb9bf8f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10421, "bytes_utf8": 10421, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14933, "cached_input_tokens": 4480, "output_tokens": 376, "reasoning_output_tokens": 277}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..035cfcd1b331faaf56bdd0e8f963b863351ca204 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b03654e635d6792a", + "api_calls": 0, + "input_tokens": 14933, + "cached_input_tokens": 4480, + "output_tokens": 376, + "total_tokens": 15309, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10035.24, + "sql_execution_elapsed_ms_total": 5.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..affb0b6512f7f43e66208733197acfc17fce7af1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:18.252283+00:00", + "ended_at": "2026-05-19T15:28:28.287561+00:00", + "elapsed_ms": 10035.24, + "prompt_metrics": { + "chars": 10421, + "bytes_utf8": 10421, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 751, + "bytes_utf8": 751, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14933, + "cached_input_tokens": 4480, + "output_tokens": 376, + "reasoning_output_tokens": 277 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a405f17333e440f29d3f2a2729189762b4e63e20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Administrative, measure_col=Administrative.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Administrative", + "measure_col": "Administrative", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56442a5ae9a82e69609279bd2aacbb4c8b807ea3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-24d3-7f62-b760-251a2a6bcad1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Administrative\\\", SUM(CAST(\\\"Administrative\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Administrative\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with both role bindings set to \\\"Administrative\\\". Applied CAST(... AS NUMERIC) because the schema stores this column as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14933,"cached_input_tokens":4480,"output_tokens":376,"reasoning_output_tokens":277}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc07893a548e7f731d506c7a3ea81d2b4c3be3e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Administrative\", SUM(CAST(\"Administrative\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"Administrative\"\nORDER BY \"total_measure\" DESC;","notes":"Used the planned grouped-sum template with both role bindings set to \"Administrative\". Applied CAST(... AS NUMERIC) because the schema stores this column as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b03654e635d6792a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1ba4e9c5081613e341f7f729298aab295085c39a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10828, "bytes_utf8": 10828, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15055, "cached_input_tokens": 12032, "output_tokens": 679, "reasoning_output_tokens": 500}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c30a3d943a46a1498a987055411e8c7b3ccb8c6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b077e5dbed2b05d5", + "api_calls": 0, + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 679, + "total_tokens": 15734, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15584.36, + "sql_execution_elapsed_ms_total": 21.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9ccec6a6f7cb48d56770035878280249b4102a1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:20.433042+00:00", + "ended_at": "2026-05-19T15:35:36.017428+00:00", + "elapsed_ms": 15584.36, + "prompt_metrics": { + "chars": 10828, + "bytes_utf8": 10828, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1085, + "bytes_utf8": 1085, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 693, + "bytes_utf8": 693, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 679, + "reasoning_output_tokens": 500 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f22cfa2959f401d2425950d43c1352a8c90c525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Browser, measure_col=TrafficType.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Browser", + "measure_col": "TrafficType", + "item_col": "Administrative_Duration", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..755fe9eb9ab49b2a36cd35ebeb64ae209c9f7023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-9565-7c51-9b9e-2755455b2dc2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Browser\\\", \\\"Administrative_Duration\\\",\\n SUM(CAST(\\\"TrafficType\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"TrafficType\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"TrafficType\\\" AS REAL))) OVER (PARTITION BY \\\"Browser\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\", \\\"Administrative_Duration\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the requested Within-Group Share of Total template with \\\"Browser\\\" as the group, \\\"Administrative_Duration\\\" as the item, and \\\"TrafficType\\\" as the measure. CAST to REAL is included because these fields are stored as TEXT in the SQLite schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15055,"cached_input_tokens":12032,"output_tokens":679,"reasoning_output_tokens":500}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7dbed15e186fda677fdd4851e82d173275f238d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Browser\", \"Administrative_Duration\",\n SUM(CAST(\"TrafficType\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"TrafficType\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"TrafficType\" AS REAL))) OVER (PARTITION BY \"Browser\") AS \"share_within_group\"\nFROM \"m6\"\nGROUP BY \"Browser\", \"Administrative_Duration\"\nORDER BY \"share_within_group\" DESC;","notes":"Used the requested Within-Group Share of Total template with \"Browser\" as the group, \"Administrative_Duration\" as the item, and \"TrafficType\" as the measure. CAST to REAL is included because these fields are stored as TEXT in the SQLite schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b077e5dbed2b05d5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3152a3e23195f8087017af770fd7f11694611302 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10659, "bytes_utf8": 10659, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10659, "bytes_utf8": 10659, "lines": 315, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 350, "bytes_utf8": 350, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14996, "cached_input_tokens": 13696, "output_tokens": 278, "reasoning_output_tokens": 184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c3d3f0c09fe344369d67b4b759f473a4165d76d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b27b127d52f7f20f", + "api_calls": 0, + "input_tokens": 14996, + "cached_input_tokens": 13696, + "output_tokens": 278, + "total_tokens": 15274, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12698.29, + "sql_execution_elapsed_ms_total": 7.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0f22671fbff0892e39adf7cf833f9e78da1a63e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:13.161806+00:00", + "ended_at": "2026-05-19T16:02:17.578906+00:00", + "elapsed_ms": 4417.07, + "returncode": 1, + "prompt_metrics": { + "chars": 10659, + "bytes_utf8": 10659, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f2061f8ee472cc6cda91409cde89bb2ecbc38d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:18.581066+00:00", + "ended_at": "2026-05-19T16:02:26.862323+00:00", + "elapsed_ms": 8281.22, + "prompt_metrics": { + "chars": 10659, + "bytes_utf8": 10659, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 701, + "bytes_utf8": 701, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 350, + "bytes_utf8": 350, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14996, + "cached_input_tokens": 13696, + "output_tokens": 278, + "reasoning_output_tokens": 184 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10ccb4d1fdc94b60b6942294e79b09844221e472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Browser, condition_col=Revenue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Browser", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..10ccb4d1fdc94b60b6942294e79b09844221e472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Browser, condition_col=Revenue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Browser", + "condition_col": "Revenue", + "condition_value": "FALSE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e8e48ad067381e834bb9ea0e8f6a74439601789 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-3124-78b3-b050-a9a42f4fe881"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bc02dab804adb9665cc36cc11bca274ea5c5802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-3124-78b3-b050-a9a42f4fe881"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f7af7a732a2de66ccd349d8083dc25d663a43c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-4667-7962-a7fa-20753093c415"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Browser\\\",\\n AVG(CASE WHEN \\\"Revenue\\\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-browser proportion of rows where \\\"Revenue\\\" is 'FALSE' using the grouped condition rate template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14996,"cached_input_tokens":13696,"output_tokens":278,"reasoning_output_tokens":184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bba048a14cfcd1f012dfdd023cb0fa3b95fef17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Browser\",\n AVG(CASE WHEN \"Revenue\" = 'FALSE' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY condition_rate DESC;","notes":"Computes the within-browser proportion of rows where \"Revenue\" is 'FALSE' using the grouped condition rate template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b27b127d52f7f20f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd239b32452163a79e86e91e0681cc979b6b5e27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10440, "bytes_utf8": 10440, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14939, "cached_input_tokens": 0, "output_tokens": 526, "reasoning_output_tokens": 427}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1119fe5462049b535e5a23d2a3cab092a9b92021 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b404341b5bb2393a", + "api_calls": 0, + "input_tokens": 14939, + "cached_input_tokens": 0, + "output_tokens": 526, + "total_tokens": 15465, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11732.14, + "sql_execution_elapsed_ms_total": 5.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..41e873eded7ca85aeba723b31403894d2c953411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:48.623570+00:00", + "ended_at": "2026-05-19T15:29:00.355738+00:00", + "elapsed_ms": 11732.14, + "prompt_metrics": { + "chars": 10440, + "bytes_utf8": 10440, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 760, + "bytes_utf8": 760, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 410, + "bytes_utf8": 410, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14939, + "cached_input_tokens": 0, + "output_tokens": 526, + "reasoning_output_tokens": 427 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84e8cbcb296b2dce3010dfd86a34668f595fc076 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Informational, measure_col=Administrative_Duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Informational", + "measure_col": "Administrative_Duration", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..efba69a455beb91bf1e51379f746772567903d32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-9ae3-7d82-9e8d-7cd5f234b74d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Informational\\\", SUM(CAST(NULLIF(\\\"Administrative_Duration\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"Informational\\\" as the grouping column and cast \\\"Administrative_Duration\\\" from TEXT to REAL before summing for SQLite compatibility.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14939,"cached_input_tokens":0,"output_tokens":526,"reasoning_output_tokens":427}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c5c0074fff3ddde67c1ce9d60ecb53ceed75a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Informational\", SUM(CAST(NULLIF(\"Administrative_Duration\", '') AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY total_measure DESC;","notes":"Applied the grouped numeric sum template with \"Informational\" as the grouping column and cast \"Administrative_Duration\" from TEXT to REAL before summing for SQLite compatibility."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b404341b5bb2393a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0d2ea8f7878981802b8fd32683570169c9ac892 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10963, "bytes_utf8": 10963, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 853, "bytes_utf8": 853, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15074, "cached_input_tokens": 13696, "output_tokens": 685, "reasoning_output_tokens": 466}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2df2a68a036ecfe69ac04a8742cbd782ccd0e3aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b405e0b91e0afbb4", + "api_calls": 0, + "input_tokens": 15074, + "cached_input_tokens": 13696, + "output_tokens": 685, + "total_tokens": 15759, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12804.86, + "sql_execution_elapsed_ms_total": 9.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c34140e89fccca7a5fd4daddf011ff6e94e5f16a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:39.227417+00:00", + "ended_at": "2026-05-19T15:46:52.032324+00:00", + "elapsed_ms": 12804.86, + "prompt_metrics": { + "chars": 10963, + "bytes_utf8": 10963, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1240, + "bytes_utf8": 1240, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 853, + "bytes_utf8": 853, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15074, + "cached_input_tokens": 13696, + "output_tokens": 685, + "reasoning_output_tokens": 466 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10f3c5deb21298dc7e1bc67915bfbee090acb163 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Revenue, measure_col=BounceRates.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Revenue", + "measure_col": "BounceRates", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.010256, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4723be8e260df848f406d7d696cbf09066b403fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-f191-7ab3-a29d-8fb9ebc251b5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Revenue\\\", SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Revenue\\\" IS NOT NULL\\n AND TRIM(\\\"Revenue\\\") <> ''\\n AND \\\"BounceRates\\\" IS NOT NULL\\n AND TRIM(\\\"BounceRates\\\") <> ''\\n GROUP BY \\\"Revenue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Revenue\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested Relative-to-Total Extreme Threshold template with group_col=\\\"Revenue\\\" and measure_col=\\\"BounceRates\\\". CAST to REAL is applied because the schema stores numeric-looking values as TEXT, and null/empty rows are filtered for a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15074,"cached_input_tokens":13696,"output_tokens":685,"reasoning_output_tokens":466}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d55c67c1e1f0b4334e0f8bd7e8ca93071226e7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Revenue\", SUM(CAST(\"BounceRates\" AS REAL)) AS group_value\n FROM \"m6\"\n WHERE \"Revenue\" IS NOT NULL\n AND TRIM(\"Revenue\") <> ''\n AND \"BounceRates\" IS NOT NULL\n AND TRIM(\"BounceRates\") <> ''\n GROUP BY \"Revenue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Revenue\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the requested Relative-to-Total Extreme Threshold template with group_col=\"Revenue\" and measure_col=\"BounceRates\". CAST to REAL is applied because the schema stores numeric-looking values as TEXT, and null/empty rows are filtered for a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b405e0b91e0afbb4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8e0d3f0664257eb1799409464bbfcbbfdea2f78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10626, "bytes_utf8": 10626, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1780, "bytes_utf8": 1780, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14981, "cached_input_tokens": 13696, "output_tokens": 2326, "reasoning_output_tokens": 1802}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2213202bc33b6d5a19fa9c5259ecda4856d19ef7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b55a6109e4b6632b", + "api_calls": 0, + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 2326, + "total_tokens": 17307, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40032.44, + "sql_execution_elapsed_ms_total": 55.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c26f44ed023ab944a8e90ec1a3be000e5f8e4214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:41.549255+00:00", + "ended_at": "2026-05-19T15:56:21.581723+00:00", + "elapsed_ms": 40032.44, + "prompt_metrics": { + "chars": 10626, + "bytes_utf8": 10626, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2391, + "bytes_utf8": 2391, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1780, + "bytes_utf8": 1780, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14981, + "cached_input_tokens": 13696, + "output_tokens": 2326, + "reasoning_output_tokens": 1802 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6edbb474a3eb1f23b26ad5c074e40d2af847ea61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=Informational, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Informational", + "measure_col": "ProductRelated_Duration", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1059.697712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f29a2d4e43d187626cafeb0462ad74c8eb2c1583 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-377f-79a1-9357-1193aec04443"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n CAST(\\\"ProductRelated_Duration\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Informational\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"ProductRelated_Duration\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Informational\\\"\\n ORDER BY \\\"measure\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Informational\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1.0 + (\\\"cnt\\\" - 1) * 0.95 AS \\\"pos\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percentile_bounds\\\" AS (\\n SELECT\\n \\\"Informational\\\",\\n MAX(CASE\\n WHEN \\\"rn\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"measure\\\"\\n END) AS \\\"lower_value\\\",\\n MAX(CASE\\n WHEN \\\"rn\\\" = CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END THEN \\\"measure\\\"\\n END) AS \\\"upper_value\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"Informational\\\"\\n)\\nSELECT\\n \\\"Informational\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, CAST(\\\"Informational\\\" AS REAL) ASC;\",\"notes\":\"Emulates grouped PERCENTILE_CONT(0.95) in SQLite with window functions and linear interpolation, grouping by \\\"Informational\\\" and casting \\\"ProductRelated_Duration\\\" from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14981,"cached_input_tokens":13696,"output_tokens":2326,"reasoning_output_tokens":1802}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..484fbcff1a2b2dc459b8ce7c4b74886a221d9eb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"Informational\",\n CAST(\"ProductRelated_Duration\" AS REAL) AS \"measure\"\n FROM \"m6\"\n WHERE \"Informational\" IS NOT NULL\n AND \"ProductRelated_Duration\" IS NOT NULL\n AND TRIM(\"ProductRelated_Duration\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"Informational\",\n \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Informational\"\n ORDER BY \"measure\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Informational\"\n ) AS \"cnt\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT\n \"Informational\",\n \"measure\",\n \"rn\",\n \"cnt\",\n 1.0 + (\"cnt\" - 1) * 0.95 AS \"pos\"\n FROM \"ranked\"\n),\n\"percentile_bounds\" AS (\n SELECT\n \"Informational\",\n MAX(CASE\n WHEN \"rn\" = CAST(\"pos\" AS INTEGER) THEN \"measure\"\n END) AS \"lower_value\",\n MAX(CASE\n WHEN \"rn\" = CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END THEN \"measure\"\n END) AS \"upper_value\",\n MAX(\"pos\") AS \"pos\"\n FROM \"positions\"\n GROUP BY \"Informational\"\n)\nSELECT\n \"Informational\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"percentile_bounds\"\nORDER BY \"percentile_measure\" DESC, CAST(\"Informational\" AS REAL) ASC;","notes":"Emulates grouped PERCENTILE_CONT(0.95) in SQLite with window functions and linear interpolation, grouping by \"Informational\" and casting \"ProductRelated_Duration\" from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b55a6109e4b6632b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f4365b317b920783c0b969b3c713ce3f689e622d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10822, "bytes_utf8": 10822, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 640, "bytes_utf8": 640, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15052, "cached_input_tokens": 13696, "output_tokens": 683, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fc52f1e9c53b213604bbf3db3420a87eedd4d5f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b5d23f0fa27bd68b", + "api_calls": 0, + "input_tokens": 15052, + "cached_input_tokens": 13696, + "output_tokens": 683, + "total_tokens": 15735, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13544.13, + "sql_execution_elapsed_ms_total": 12.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8ef6cba99c2565583f4cc95fd8661c324e90977d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:51.211223+00:00", + "ended_at": "2026-05-19T15:35:04.755379+00:00", + "elapsed_ms": 13544.13, + "prompt_metrics": { + "chars": 10822, + "bytes_utf8": 10822, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1023, + "bytes_utf8": 1023, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 640, + "bytes_utf8": 640, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15052, + "cached_input_tokens": 13696, + "output_tokens": 683, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..01c9c2a18f7885d661aeffffff4400fd706a6d99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=OperatingSystems, measure_col=Region.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Region", + "item_col": "Administrative", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c97408ac68ec930a074e8616097d276e0b535590 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-234a-7741-9587-a774fcfe5efa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"OperatingSystems\\\",\\n \\\"Administrative\\\",\\n SUM(CAST(\\\"Region\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Region\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Region\\\" AS REAL))) OVER (PARTITION BY \\\"OperatingSystems\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\", \\\"Administrative\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\",\"notes\":\"Instantiated the Within-Group Share of Total template with group_col=\\\"OperatingSystems\\\", item_col=\\\"Administrative\\\", and measure_col=\\\"Region\\\". CAST to REAL is used because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15052,"cached_input_tokens":13696,"output_tokens":683,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc50afb748eca4ad1b03f588eaae86f01bd54142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"OperatingSystems\",\n \"Administrative\",\n SUM(CAST(\"Region\" AS REAL)) AS total_measure,\n SUM(CAST(\"Region\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Region\" AS REAL))) OVER (PARTITION BY \"OperatingSystems\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"OperatingSystems\", \"Administrative\"\nORDER BY share_within_group DESC\nLIMIT 16;","notes":"Instantiated the Within-Group Share of Total template with group_col=\"OperatingSystems\", item_col=\"Administrative\", and measure_col=\"Region\". CAST to REAL is used because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b5d23f0fa27bd68b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b6aedb8d86e19c73ad3d99b1abd40b250f8b4a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10826, "bytes_utf8": 10826, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 803, "bytes_utf8": 803, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15053, "cached_input_tokens": 12032, "output_tokens": 933, "reasoning_output_tokens": 714}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..008ec18070288bada023f37c40b82784490f686b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_b94ca609e7d73b46", + "api_calls": 0, + "input_tokens": 15053, + "cached_input_tokens": 12032, + "output_tokens": 933, + "total_tokens": 15986, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16042.32, + "sql_execution_elapsed_ms_total": 33.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..60ca3cc23a04f595a083e71998465423e770d0d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:46.216621+00:00", + "ended_at": "2026-05-19T15:36:02.258978+00:00", + "elapsed_ms": 16042.32, + "prompt_metrics": { + "chars": 10826, + "bytes_utf8": 10826, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1175, + "bytes_utf8": 1175, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 803, + "bytes_utf8": 803, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15053, + "cached_input_tokens": 12032, + "output_tokens": 933, + "reasoning_output_tokens": 714 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..352cf506af547da494071b30ea6498e10ea069fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Region, measure_col=Administrative.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Region", + "measure_col": "Administrative", + "item_col": "Informational_Duration", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..acdb96dd1c2c05bfe0c9d241e9463616d6ce1a69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-fa20-71f0-9370-73ba9d068260"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Region\\\",\\n \\\"Informational_Duration\\\",\\n SUM(CAST(COALESCE(NULLIF(\\\"Administrative\\\", ''), '0') AS REAL)) AS total_measure,\\n SUM(CAST(COALESCE(NULLIF(\\\"Administrative\\\", ''), '0') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(COALESCE(NULLIF(\\\"Administrative\\\", ''), '0') AS REAL))) OVER (PARTITION BY \\\"Region\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\", \\\"Informational_Duration\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=Region, item_col=Informational_Duration, and measure_col=Administrative. Administrative is cast from TEXT to REAL because the SQLite schema stores numeric fields as TEXT. Included LIMIT 18 from the provided top_k binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15053,"cached_input_tokens":12032,"output_tokens":933,"reasoning_output_tokens":714}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f087a47659eaf281718068722c5e2236c57ff18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Region\",\n \"Informational_Duration\",\n SUM(CAST(COALESCE(NULLIF(\"Administrative\", ''), '0') AS REAL)) AS total_measure,\n SUM(CAST(COALESCE(NULLIF(\"Administrative\", ''), '0') AS REAL)) * 100.0 /\n SUM(SUM(CAST(COALESCE(NULLIF(\"Administrative\", ''), '0') AS REAL))) OVER (PARTITION BY \"Region\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Region\", \"Informational_Duration\"\nORDER BY share_within_group DESC\nLIMIT 18;","notes":"Applied the Within-Group Share of Total template with group_col=Region, item_col=Informational_Duration, and measure_col=Administrative. Administrative is cast from TEXT to REAL because the SQLite schema stores numeric fields as TEXT. Included LIMIT 18 from the provided top_k binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b94ca609e7d73b46/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f51f98f5c9c7a194400b79bd21f2a8f57edc5dd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10988, "bytes_utf8": 10988, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 825, "bytes_utf8": 825, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15079, "cached_input_tokens": 13696, "output_tokens": 726, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c72513b61934b58479e2d6af0f3399836ff25307 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_beae45957b767959", + "api_calls": 0, + "input_tokens": 15079, + "cached_input_tokens": 13696, + "output_tokens": 726, + "total_tokens": 15805, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21680.5, + "sql_execution_elapsed_ms_total": 19.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..37e1c48fa9d1c2ba65b02aca3cb84ae8e6f662bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:54.494673+00:00", + "ended_at": "2026-05-19T15:46:16.175212+00:00", + "elapsed_ms": 21680.5, + "prompt_metrics": { + "chars": 10988, + "bytes_utf8": 10988, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1873, + "bytes_utf8": 1873, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 825, + "bytes_utf8": 825, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15079, + "cached_input_tokens": 13696, + "output_tokens": 726, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6234bd0c4d32726f027b86699c4a8d953f5b1d12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Weekend, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Weekend", + "measure_col": "ProductRelated_Duration", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f30b55841eb4e8e398a0ca309e40d77acebdc89e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40ea-423e-7f91-b1cd-fcf8a41c4003"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999136, Requested 15714. Please try again in 445ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988864, Requested 15714. Please try again in 137ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Weekend\\\", SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Weekend\\\" IS NOT NULL\\n AND \\\"ProductRelated_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"ProductRelated_Duration\\\") <> ''\\n GROUP BY \\\"Weekend\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Weekend\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required template with group_col=\\\"Weekend\\\" and measure_col=\\\"ProductRelated_Duration\\\". The measure is CAST to REAL because the schema stores it as TEXT, and null/empty measure values are filtered out for a stable aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15079,"cached_input_tokens":13696,"output_tokens":726,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..471c8e3619a2cdfb5c1609254c45de14f5633082 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Weekend\", SUM(CAST(\"ProductRelated_Duration\" AS REAL)) AS group_value\n FROM \"m6\"\n WHERE \"Weekend\" IS NOT NULL\n AND \"ProductRelated_Duration\" IS NOT NULL\n AND TRIM(\"ProductRelated_Duration\") <> ''\n GROUP BY \"Weekend\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Weekend\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the required template with group_col=\"Weekend\" and measure_col=\"ProductRelated_Duration\". The measure is CAST to REAL because the schema stores it as TEXT, and null/empty measure values are filtered out for a stable aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_beae45957b767959/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2bf75730a8c54bf0eeb5a99291623c1f5d11bdc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10968, "bytes_utf8": 10968, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 840, "bytes_utf8": 840, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15075, "cached_input_tokens": 13696, "output_tokens": 734, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1a1549b207f014c912a979cc226a07c36b769f06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c048a9aa1db31378", + "api_calls": 0, + "input_tokens": 15075, + "cached_input_tokens": 13696, + "output_tokens": 734, + "total_tokens": 15809, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13376.24, + "sql_execution_elapsed_ms_total": 11.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..19912efd7e235f3104678f76ea653c8446f4d411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:36.360580+00:00", + "ended_at": "2026-05-19T15:47:49.736874+00:00", + "elapsed_ms": 13376.24, + "prompt_metrics": { + "chars": 10968, + "bytes_utf8": 10968, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1229, + "bytes_utf8": 1229, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 840, + "bytes_utf8": 840, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15075, + "cached_input_tokens": 13696, + "output_tokens": 734, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..242d8bd984be0676440f4a7558e013236276282d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Informational, measure_col=PageValues.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Informational", + "measure_col": "PageValues", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6773cb01089628237380be4bfe5d937b1c1ad8b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-d08e-7f63-a964-5f0acfdf9b0f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"Informational\\\",\\n SUM(CAST(\\\"PageValues\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Informational\\\" IS NOT NULL\\n AND TRIM(\\\"Informational\\\") <> ''\\n AND \\\"PageValues\\\" IS NOT NULL\\n AND TRIM(\\\"PageValues\\\") <> ''\\n GROUP BY \\\"Informational\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Informational\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested relative-to-total threshold template with \\\"Informational\\\" as the grouping column and SUM(CAST(\\\"PageValues\\\" AS REAL)) as the measure, filtering out NULL/empty TEXT values for stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15075,"cached_input_tokens":13696,"output_tokens":734,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..302c38854f9dacd5b98655662022fe966d8de8aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"Informational\",\n SUM(CAST(\"PageValues\" AS REAL)) AS group_value\n FROM \"m6\"\n WHERE \"Informational\" IS NOT NULL\n AND TRIM(\"Informational\") <> ''\n AND \"PageValues\" IS NOT NULL\n AND TRIM(\"PageValues\") <> ''\n GROUP BY \"Informational\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Informational\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the requested relative-to-total threshold template with \"Informational\" as the grouping column and SUM(CAST(\"PageValues\" AS REAL)) as the measure, filtering out NULL/empty TEXT values for stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c048a9aa1db31378/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e334cbb61e481132c1a0ddb1612d0553446f782 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10821, "bytes_utf8": 10821, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 644, "bytes_utf8": 644, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15054, "cached_input_tokens": 12032, "output_tokens": 680, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..699074391d54010b705fa92e9665ef726491f514 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c0da42dcc3d1e7f1", + "api_calls": 0, + "input_tokens": 15054, + "cached_input_tokens": 12032, + "output_tokens": 680, + "total_tokens": 15734, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15632.25, + "sql_execution_elapsed_ms_total": 21.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5965c433c93c3073b686224d4b09d64a256063e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:04.774281+00:00", + "ended_at": "2026-05-19T15:35:20.406552+00:00", + "elapsed_ms": 15632.25, + "prompt_metrics": { + "chars": 10821, + "bytes_utf8": 10821, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1028, + "bytes_utf8": 1028, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 644, + "bytes_utf8": 644, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15054, + "cached_input_tokens": 12032, + "output_tokens": 680, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba7f712382757b1d2f02c227b66f70a8fb5146b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Browser, measure_col=TrafficType.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Browser", + "measure_col": "TrafficType", + "item_col": "Administrative_Duration", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30f94005f56b49f5444d353d687ecd44b8d3b033 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-585e-7a61-9326-5e5caa331c7f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Browser\\\", \\\"Administrative_Duration\\\",\\n SUM(CAST(\\\"TrafficType\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"TrafficType\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"TrafficType\\\" AS REAL))) OVER (PARTITION BY \\\"Browser\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\", \\\"Administrative_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with group_col=\\\"Browser\\\", item_col=\\\"Administrative_Duration\\\", and measure_col=\\\"TrafficType\\\". Cast \\\"TrafficType\\\" to REAL because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15054,"cached_input_tokens":12032,"output_tokens":680,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d0b6b497ebf33c3146640fd764d2fa7c7d561b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Browser\", \"Administrative_Duration\",\n SUM(CAST(\"TrafficType\" AS REAL)) AS total_measure,\n SUM(CAST(\"TrafficType\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"TrafficType\" AS REAL))) OVER (PARTITION BY \"Browser\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Browser\", \"Administrative_Duration\"\nORDER BY share_within_group DESC;","notes":"Used the provided template with group_col=\"Browser\", item_col=\"Administrative_Duration\", and measure_col=\"TrafficType\". Cast \"TrafficType\" to REAL because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c0da42dcc3d1e7f1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f53ecd16a78812a98b3404f72f4707c62ac1b851 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10987, "bytes_utf8": 10987, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15077, "cached_input_tokens": 13696, "output_tokens": 419, "reasoning_output_tokens": 250}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..34ef07f821206a778d253991328e6b409686e0fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c11cec477d7f53a0", + "api_calls": 0, + "input_tokens": 15077, + "cached_input_tokens": 13696, + "output_tokens": 419, + "total_tokens": 15496, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11645.54, + "sql_execution_elapsed_ms_total": 12.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..10079cbf48d56e033052412660f14f07da246b79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:24.863946+00:00", + "ended_at": "2026-05-19T15:45:36.509519+00:00", + "elapsed_ms": 11645.54, + "prompt_metrics": { + "chars": 10987, + "bytes_utf8": 10987, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1026, + "bytes_utf8": 1026, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15077, + "cached_input_tokens": 13696, + "output_tokens": 419, + "reasoning_output_tokens": 250 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b74483282cf8039546afd487aa14144eedb415e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=TrafficType, measure_col=Informational_Duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Informational_Duration", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e097503c735dc65d2d767f6cd2d014ca4e05cdfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-ce7a-7b51-9d2f-e29995729b60"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"TrafficType\\\", SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"TrafficType\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"TrafficType\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with \\\"TrafficType\\\" as the grouping column and cast \\\"Informational_Duration\\\" from TEXT to REAL so SQLite can sum it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15077,"cached_input_tokens":13696,"output_tokens":419,"reasoning_output_tokens":250}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b01a296a26599f8f3e247a6566cb812ac1d5b5a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"TrafficType\", SUM(CAST(\"Informational_Duration\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"TrafficType\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"TrafficType\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with \"TrafficType\" as the grouping column and cast \"Informational_Duration\" from TEXT to REAL so SQLite can sum it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c11cec477d7f53a0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..53b326384b727e6e701542441f32f1fc6ae65939 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10387, "bytes_utf8": 10387, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 291, "bytes_utf8": 291, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14944, "cached_input_tokens": 12032, "output_tokens": 299, "reasoning_output_tokens": 211}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6b8c8329f3ad13a53dfc96b840665361b40aed31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c2540df54546cd9b", + "api_calls": 0, + "input_tokens": 14944, + "cached_input_tokens": 12032, + "output_tokens": 299, + "total_tokens": 15243, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8625.91, + "sql_execution_elapsed_ms_total": 4.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..16bfb2ead7a7e6b65356a8ebf3fbdcfd614233be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:25.881672+00:00", + "ended_at": "2026-05-19T16:06:34.507612+00:00", + "elapsed_ms": 8625.91, + "prompt_metrics": { + "chars": 10387, + "bytes_utf8": 10387, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 648, + "bytes_utf8": 648, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 291, + "bytes_utf8": 291, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14944, + "cached_input_tokens": 12032, + "output_tokens": 299, + "reasoning_output_tokens": 211 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1e691c1b0ae1dba39be0824c24e17b85e12b4ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Region.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Region", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..73c7e69b69038fe4753434ef48b2543efa6bb122 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0c8f-77d3-ba7d-bce367090c6e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Region\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Region\\\"\\nLIMIT 12;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to Region and top_k=12.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14944,"cached_input_tokens":12032,"output_tokens":299,"reasoning_output_tokens":211}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b0038adbb4d78c1872546a330bfd00677c96b4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Region\",\n COUNT(*) AS \"support\"\nFROM \"m6\"\nGROUP BY \"Region\"\nORDER BY \"support\" ASC, \"Region\"\nLIMIT 12;","notes":"Uses the Low-Support Group Count template with group_col bound to Region and top_k=12."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c2540df54546cd9b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1789d4ac13030f230838ce6bf6d1da99a6d1b7b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11224, "bytes_utf8": 11224, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 755, "bytes_utf8": 755, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15146, "cached_input_tokens": 13696, "output_tokens": 434, "reasoning_output_tokens": 246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..79a5df8b63d520628b0398e67308efe6b9acf71e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c47735add54c4706", + "api_calls": 0, + "input_tokens": 15146, + "cached_input_tokens": 13696, + "output_tokens": 434, + "total_tokens": 15580, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9633.2, + "sql_execution_elapsed_ms_total": 12.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..798328a03a4314798fa7f3f0f36d1fce1ac4ec0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:50.347231+00:00", + "ended_at": "2026-05-19T15:39:59.980469+00:00", + "elapsed_ms": 9633.2, + "prompt_metrics": { + "chars": 11224, + "bytes_utf8": 11224, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1124, + "bytes_utf8": 1124, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 755, + "bytes_utf8": 755, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15146, + "cached_input_tokens": 13696, + "output_tokens": 434, + "reasoning_output_tokens": 246 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e390fd012fc104ac222c37b8bd791b90b4f807c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=VisitorType, condition_col=OperatingSystems.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "VisitorType", + "condition_col": "OperatingSystems", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87da51903f81507f258b1de8dcea65acbece2563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-b3bf-7e91-9eb7-2bddab4f53d6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"VisitorType\\\",\\n SUM(CASE WHEN \\\"OperatingSystems\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"OperatingSystems\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"VisitorType\\\"\\n)\\nSELECT \\\"VisitorType\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the grouped ratio template with group_col=\\\"VisitorType\\\" and condition_col=\\\"OperatingSystems\\\", using positive_value='2' and negative_value='1'. Compared against string literals because the SQLite schema stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15146,"cached_input_tokens":13696,"output_tokens":434,"reasoning_output_tokens":246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5a556663b6cb3c721cd34eed1b54756735c45ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"VisitorType\",\n SUM(CASE WHEN \"OperatingSystems\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"OperatingSystems\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"VisitorType\"\n)\nSELECT \"VisitorType\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the grouped ratio template with group_col=\"VisitorType\" and condition_col=\"OperatingSystems\", using positive_value='2' and negative_value='1'. Compared against string literals because the SQLite schema stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c47735add54c4706/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d16ea957e632b6242318ccac507e004c27543d39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10368, "bytes_utf8": 10368, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 395, "bytes_utf8": 395, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14929, "cached_input_tokens": 12032, "output_tokens": 256, "reasoning_output_tokens": 151}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bb1ec8a6ac5c770109c56c7f408d244ec69492d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c585ce463a07336c", + "api_calls": 0, + "input_tokens": 14929, + "cached_input_tokens": 12032, + "output_tokens": 256, + "total_tokens": 15185, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8342.95, + "sql_execution_elapsed_ms_total": 5.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..accdbc38816cb60b211a25a4518c30cb7d0e3e24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:29.696759+00:00", + "ended_at": "2026-05-19T16:03:38.039745+00:00", + "elapsed_ms": 8342.95, + "prompt_metrics": { + "chars": 10368, + "bytes_utf8": 10368, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 735, + "bytes_utf8": 735, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 395, + "bytes_utf8": 395, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14929, + "cached_input_tokens": 12032, + "output_tokens": 256, + "reasoning_output_tokens": 151 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d300503c7db163a099b0295f654d1097251ad15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Administrative_Duration.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Administrative_Duration", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee611fb5b751218a7521eb6392bc408cf209321d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5c1b-7040-82e6-2dc8876d0259"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Administrative_Duration\\\" AS REAL) <= 93.25625 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"m6\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col bound to \\\"Administrative_Duration\\\" and threshold 93.25625. Cast to REAL because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14929,"cached_input_tokens":12032,"output_tokens":256,"reasoning_output_tokens":151}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..126283c6fd3245d372af374e5c0e70eeffd90770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Administrative_Duration\" AS REAL) <= 93.25625 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"m6\";","notes":"Used the planned Threshold Rarity CDF template with measure_col bound to \"Administrative_Duration\" and threshold 93.25625. Cast to REAL because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c585ce463a07336c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9485d7a452305701ebfe8f1375671b1b14a2db8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10986, "bytes_utf8": 10986, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1041, "bytes_utf8": 1041, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15079, "cached_input_tokens": 13696, "output_tokens": 807, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..733011818407c395d8a7074e3b0dda9c4a0f2b05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_c918d7caf1dfa008", + "api_calls": 0, + "input_tokens": 15079, + "cached_input_tokens": 13696, + "output_tokens": 807, + "total_tokens": 15886, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15457.68, + "sql_execution_elapsed_ms_total": 9.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1de4a31bbfe240187a88b95f33aa1b86a54d241 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:09.391048+00:00", + "ended_at": "2026-05-19T15:45:24.848772+00:00", + "elapsed_ms": 15457.68, + "prompt_metrics": { + "chars": 10986, + "bytes_utf8": 10986, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1505, + "bytes_utf8": 1505, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1041, + "bytes_utf8": 1041, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15079, + "cached_input_tokens": 13696, + "output_tokens": 807, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2eecb07906607bd121a397a700d545a39dfd1106 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=TrafficType, measure_col=Informational_Duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Informational_Duration", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..941879f36848add76d2d3e166121c47121ca6259 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-9223-7b63-ad12-55bf23d10e59"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"TrafficType\\\",\\n CAST(\\\"Informational_Duration\\\" AS REAL) AS \\\"Informational_Duration\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"TrafficType\\\" IS NOT NULL\\n AND TRIM(\\\"TrafficType\\\") <> ''\\n AND \\\"Informational_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Informational_Duration\\\") <> ''\\n), \\\"grouped\\\" AS (\\n SELECT\\n \\\"TrafficType\\\",\\n SUM(\\\"Informational_Duration\\\") AS \\\"group_value\\\"\\n FROM \\\"filtered\\\"\\n GROUP BY \\\"TrafficType\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"TrafficType\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the requested relative-to-total threshold template with \\\"TrafficType\\\" as the group and casts \\\"Informational_Duration\\\" to REAL because the schema stores it as TEXT; null and blank values are filtered out first.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15079,"cached_input_tokens":13696,"output_tokens":807,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9eafb4b935ec5ce23eae97bf3763284083d3d2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"filtered\" AS (\n SELECT\n \"TrafficType\",\n CAST(\"Informational_Duration\" AS REAL) AS \"Informational_Duration\"\n FROM \"m6\"\n WHERE \"TrafficType\" IS NOT NULL\n AND TRIM(\"TrafficType\") <> ''\n AND \"Informational_Duration\" IS NOT NULL\n AND TRIM(\"Informational_Duration\") <> ''\n), \"grouped\" AS (\n SELECT\n \"TrafficType\",\n SUM(\"Informational_Duration\") AS \"group_value\"\n FROM \"filtered\"\n GROUP BY \"TrafficType\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"TrafficType\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Uses the requested relative-to-total threshold template with \"TrafficType\" as the group and casts \"Informational_Duration\" to REAL because the schema stores it as TEXT; null and blank values are filtered out first."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_c918d7caf1dfa008/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..65975c386ffdad81f6b97aba3a9cfbeed256714e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10705, "bytes_utf8": 10705, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15028, "cached_input_tokens": 12032, "output_tokens": 381, "reasoning_output_tokens": 278}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e6ca7be5306f452845daaa87017eb99d22df0a92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_cc939ce8343ca401", + "api_calls": 0, + "input_tokens": 15028, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 15409, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10254.39, + "sql_execution_elapsed_ms_total": 9.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..429f8e0469ff34c4201330a04231f1837303f615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:45.202374+00:00", + "ended_at": "2026-05-19T15:40:55.456798+00:00", + "elapsed_ms": 10254.39, + "prompt_metrics": { + "chars": 10705, + "bytes_utf8": 10705, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 753, + "bytes_utf8": 753, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 398, + "bytes_utf8": 398, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15028, + "cached_input_tokens": 12032, + "output_tokens": 381, + "reasoning_output_tokens": 278 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..44ccc059e4609858e22fe105e65e4c047642127b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Region, group_col_2=Revenue.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "Region", + "group_col_2": "Revenue", + "predicate_col": "Browser", + "predicate_op": ">=", + "predicate_value": 2.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..087922c3b52cf72837e469ab1fbaa538a02b4df8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-8a2f-74b0-aafd-ad4eaf2ebb62"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Region\\\", \\\"Revenue\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Browser\\\" AS REAL) >= 2.0\\nGROUP BY \\\"Region\\\", \\\"Revenue\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with Region and Revenue, and cast Browser to REAL because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15028,"cached_input_tokens":12032,"output_tokens":381,"reasoning_output_tokens":278}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..184296d6a61fd8a9780389ccf06ded23cdd5b672 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Region\", \"Revenue\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Browser\" AS REAL) >= 2.0\nGROUP BY \"Region\", \"Revenue\"\nORDER BY row_count DESC;","notes":"Used the provided filtered two-dimensional group count template with Region and Revenue, and cast Browser to REAL because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cc939ce8343ca401/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b308adc468395226c4c982587fac9027015980af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10407, "bytes_utf8": 10407, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 276, "reasoning_output_tokens": 173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5d173fe708d0cdf188e9c04174a521f1533354fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_cf50245fd20d4aa0", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 276, + "total_tokens": 15213, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7963.77, + "sql_execution_elapsed_ms_total": 7.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..89efb1db20f8774a7e03f673213240fd50d984d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:35.207845+00:00", + "ended_at": "2026-05-19T15:31:43.171649+00:00", + "elapsed_ms": 7963.77, + "prompt_metrics": { + "chars": 10407, + "bytes_utf8": 10407, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 749, + "bytes_utf8": 749, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 391, + "bytes_utf8": 391, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14937, + "cached_input_tokens": 12032, + "output_tokens": 276, + "reasoning_output_tokens": 173 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..606fb743c04acf86b7f33f1af4bb507a5fd338ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=VisitorType, measure_col=PageValues.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "VisitorType", + "measure_col": "PageValues", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..435dd54e86fb90914fe0544be1a59cdfaebe4b56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-25b1-7142-bddb-7707faf48e2c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"VisitorType\\\", SUM(CAST(\\\"PageValues\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"VisitorType\\\" and measure_col=\\\"PageValues\\\". CAST to REAL is used because the schema snapshot shows \\\"PageValues\\\" is stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14937,"cached_input_tokens":12032,"output_tokens":276,"reasoning_output_tokens":173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..61724b71f1c8e37889309d6aabcb9cec5ac02d5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"VisitorType\", SUM(CAST(\"PageValues\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"VisitorType\"\nORDER BY total_measure DESC;","notes":"Applied the Grouped Numeric Sum template with group_col=\"VisitorType\" and measure_col=\"PageValues\". CAST to REAL is used because the schema snapshot shows \"PageValues\" is stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_cf50245fd20d4aa0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..200d32a0bf9725d67f6c9ac0f066131b244c7630 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10797, "bytes_utf8": 10797, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 625, "bytes_utf8": 625, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15051, "cached_input_tokens": 13696, "output_tokens": 369, "reasoning_output_tokens": 207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9113d4e8dcee044570cc201ac81170d3cc33863e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d104248c31d27772", + "api_calls": 0, + "input_tokens": 15051, + "cached_input_tokens": 13696, + "output_tokens": 369, + "total_tokens": 15420, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11512.71, + "sql_execution_elapsed_ms_total": 21.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..77d37e7ee2faa93fafd5f78f7fd1054e57fbf152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:06.936976+00:00", + "ended_at": "2026-05-19T15:34:18.449741+00:00", + "elapsed_ms": 11512.71, + "prompt_metrics": { + "chars": 10797, + "bytes_utf8": 10797, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1009, + "bytes_utf8": 1009, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 625, + "bytes_utf8": 625, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15051, + "cached_input_tokens": 13696, + "output_tokens": 369, + "reasoning_output_tokens": 207 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c57bc14783819c6cfe69984e48293f3a4f3d01e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Month, measure_col=Browser.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Month", + "measure_col": "Browser", + "item_col": "TrafficType", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b7b2e44226697f2a1c53ed2509a07979dc50457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-7674-7463-84ff-1d6de0551cb8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Month\\\", \\\"TrafficType\\\",\\n SUM(CAST(\\\"Browser\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Browser\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Browser\\\" AS REAL))) OVER (PARTITION BY \\\"Month\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\", \\\"TrafficType\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"Month\\\", item_col=\\\"TrafficType\\\", and measure_col=\\\"Browser\\\". Cast \\\"Browser\\\" to REAL because the SQLite snapshot stores it as TEXT while the dataset semantics indicate a numeric discrete measure.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15051,"cached_input_tokens":13696,"output_tokens":369,"reasoning_output_tokens":207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f473dc3931587190b1ae2545ba4482a5d5c7be06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Month\", \"TrafficType\",\n SUM(CAST(\"Browser\" AS REAL)) AS total_measure,\n SUM(CAST(\"Browser\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Browser\" AS REAL))) OVER (PARTITION BY \"Month\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Month\", \"TrafficType\"\nORDER BY share_within_group DESC;","notes":"Applied the planned template with group_col=\"Month\", item_col=\"TrafficType\", and measure_col=\"Browser\". Cast \"Browser\" to REAL because the SQLite snapshot stores it as TEXT while the dataset semantics indicate a numeric discrete measure."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d104248c31d27772/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c2f96937034f86b810c56a589e5eb107c1912ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10344, "bytes_utf8": 10344, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10344, "bytes_utf8": 10344, "lines": 310, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14926, "cached_input_tokens": 12032, "output_tokens": 345, "reasoning_output_tokens": 235}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca335c16388465ce04c021b9188a5540e15ae064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d126b6bb11f3307a", + "api_calls": 0, + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 345, + "total_tokens": 15271, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12596.86, + "sql_execution_elapsed_ms_total": 2.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..911041732314c20ece1252f1c7127f8e66546928 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:38.054509+00:00", + "ended_at": "2026-05-19T16:03:41.288398+00:00", + "elapsed_ms": 3233.85, + "returncode": 1, + "prompt_metrics": { + "chars": 10344, + "bytes_utf8": 10344, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7d1139cd37bbfc7604dcf5d6b91ab92f7a23eb46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:42.290604+00:00", + "ended_at": "2026-05-19T16:03:51.653663+00:00", + "elapsed_ms": 9363.01, + "prompt_metrics": { + "chars": 10344, + "bytes_utf8": 10344, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 742, + "bytes_utf8": 742, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14926, + "cached_input_tokens": 12032, + "output_tokens": 345, + "reasoning_output_tokens": 235 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ca059783a58ee2479e5abb9ae34d438f1b19aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Informational.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Informational", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ca059783a58ee2479e5abb9ae34d438f1b19aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Informational.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Informational", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..79dbc852bc36a899fd134293b42c2ff691b0faed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-7cee-7fa1-adcb-a76ae664b83a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17ce2ca7a175ee166deae8540600c2338a2d2702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-7cee-7fa1-adcb-a76ae664b83a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b368b4f511b6bd74c2a64cc5b7e1b3ffb282f92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-8d69-7133-9c83-2192363a9e40"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Informational\\\" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col=\\\"Informational\\\" and measure_threshold=0.0. CAST(\\\"Informational\\\" AS REAL) is applied because the schema stores this numeric field as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14926,"cached_input_tokens":12032,"output_tokens":345,"reasoning_output_tokens":235}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1d14db2d06e5db263d7616c98eafb49ec0b28f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Informational\" AS REAL) <= 0.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m6\";","notes":"Used the planned Threshold Rarity CDF template with measure_col=\"Informational\" and measure_threshold=0.0. CAST(\"Informational\" AS REAL) is applied because the schema stores this numeric field as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d126b6bb11f3307a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f3858efa5cf584177ce260fb3ed65e4282f309a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10960, "bytes_utf8": 10960, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 617, "bytes_utf8": 617, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 13696, "output_tokens": 381, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c86eb1f71a731f9fbfa9d2687920298183212bc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_d79bd97ae08a4fb5", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 381, + "total_tokens": 15454, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14900.78, + "sql_execution_elapsed_ms_total": 13.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..834722fce0cdfcdf1df95b92604f4efa55965e92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:54.468354+00:00", + "ended_at": "2026-05-19T15:45:09.369170+00:00", + "elapsed_ms": 14900.78, + "prompt_metrics": { + "chars": 10960, + "bytes_utf8": 10960, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1317, + "bytes_utf8": 1317, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 617, + "bytes_utf8": 617, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 381, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0161eb35e1bed22fbf684e1faaa5a7fad15595a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Region, measure_col=Informational.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Region", + "measure_col": "Informational", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec93fc6fcb5eb02095aab4a7a9bac1956136ff6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-57bc-7c30-8374-ffe6fb52b3ea"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15708. Please try again in 471ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Region\\\", SUM(CAST(\\\"Informational\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Region\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Region\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"Region\\\" and measure_col=\\\"Informational\\\". CAST to REAL is added because the schema stores numeric-looking values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15073,"cached_input_tokens":13696,"output_tokens":381,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fb2aea891fe1582bc02d6dfa8d7d06db8e9c5b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Region\", SUM(CAST(\"Informational\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"Region\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Region\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the requested template with group_col=\"Region\" and measure_col=\"Informational\". CAST to REAL is added because the schema stores numeric-looking values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d79bd97ae08a4fb5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..895ded3c2d311cdf428992c6c1cba7ef286d38a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Browser.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Browser", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71cb484deea470cb6e947b8717671bacaa4a32a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-d3ba-7b00-ae45-cddd3d013478"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71fa1abfcf2d369ec04136d59f996ccd70d64d8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-e42a-75b2-bb6b-0c2d81dd7674"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b9641f9cfc48941aac0e46676a934a385c1be321 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:01.823085+00:00", + "ended_at": "2026-05-19T16:08:05.540362+00:00", + "elapsed_ms": 3717.25, + "returncode": 1, + "prompt_metrics": { + "chars": 10515, + "bytes_utf8": 10515, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ff511305d92113eb8f4490ee3ac0345bc331b777 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:06.541804+00:00", + "ended_at": "2026-05-19T16:08:09.658316+00:00", + "elapsed_ms": 3116.48, + "returncode": 1, + "prompt_metrics": { + "chars": 10515, + "bytes_utf8": 10515, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c74fd4859b17981a55d1a1f7a7ffafb074bcf82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=OperatingSystems, measure_col=OperatingSystems.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "OperatingSystems", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c74fd4859b17981a55d1a1f7a7ffafb074bcf82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=OperatingSystems, measure_col=OperatingSystems.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "OperatingSystems", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..76b1039d3ce38cb8fc5603b46f387f533f366672 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8315-78b3-b3e3-91027f59aba7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..33749c0e0a82db18ad209b03982e3f99237494b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8315-78b3-b3e3-91027f59aba7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..80fc6286bb1ecf279ee826232867a22bf21328dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-957f-7e50-9502-e8cfa226350f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e5cc2b5a7ba43db459db7526e90cfb281c9fb39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-957f-7e50-9502-e8cfa226350f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd454c6d75c7e964/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7632118757963436a4e3735f1ecaf6a8199676ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10713, "bytes_utf8": 10713, "lines": 316, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15026, "cached_input_tokens": 13696, "output_tokens": 453, "reasoning_output_tokens": 333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..05e671c9b0e31b638ead84eba767cdbcc9bc2a66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dd71a2b5a54c020b", + "api_calls": 0, + "input_tokens": 15026, + "cached_input_tokens": 13696, + "output_tokens": 453, + "total_tokens": 15479, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17027.73, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..264506b01042851f17b71b3049e604bc4bdae93d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:33.664551+00:00", + "ended_at": "2026-05-19T15:41:50.692318+00:00", + "elapsed_ms": 17027.73, + "prompt_metrics": { + "chars": 10713, + "bytes_utf8": 10713, + "lines": 316, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1161, + "bytes_utf8": 1161, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 461, + "bytes_utf8": 461, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15026, + "cached_input_tokens": 13696, + "output_tokens": 453, + "reasoning_output_tokens": 333 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b1357c73210816f33571347e1538909b6357db6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,316 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=VisitorType, group_col_2=Weekend.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "VisitorType", + "group_col_2": "Weekend", + "predicate_col": "Weekend", + "predicate_op": "=", + "predicate_value": "FALSE", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d50885e979b917b40b76e79d108342a95e0834c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e6-4782-7542-bb4d-f90cf00a19e4"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999691, Requested 15661. Please try again in 460ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d.\\nSELECT \\\"VisitorType\\\", \\\"Weekend\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE \\\"Weekend\\\" = 'FALSE'\\nGROUP BY \\\"VisitorType\\\", \\\"Weekend\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the bound template roles exactly: group by \\\"VisitorType\\\" and \\\"Weekend\\\", with a filter on \\\"Weekend\\\" = 'FALSE'. The predicate value is quoted as a string because the schema snapshot shows TEXT storage for this column.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15026,"cached_input_tokens":13696,"output_tokens":453,"reasoning_output_tokens":333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d52fb8870d584f1ec9526d6ca8e0dd3ee80df3c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d.\nSELECT \"VisitorType\", \"Weekend\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE \"Weekend\" = 'FALSE'\nGROUP BY \"VisitorType\", \"Weekend\"\nORDER BY row_count DESC;","notes":"Uses the bound template roles exactly: group by \"VisitorType\" and \"Weekend\", with a filter on \"Weekend\" = 'FALSE'. The predicate value is quoted as a string because the schema snapshot shows TEXT storage for this column."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dd71a2b5a54c020b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..afbdd32e0e327f4dd6ee5a44d9dc8db38b0dbb16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10831, "bytes_utf8": 10831, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15057, "cached_input_tokens": 12032, "output_tokens": 687, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..06684362730a06b502595356057baa6f71f70ef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_de340f55c10e29f0", + "api_calls": 0, + "input_tokens": 15057, + "cached_input_tokens": 12032, + "output_tokens": 687, + "total_tokens": 15744, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13325.51, + "sql_execution_elapsed_ms_total": 27.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3aacdd7d1c2ab1365b38170dd003b24534d33099 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:15.890883+00:00", + "ended_at": "2026-05-19T15:38:29.216427+00:00", + "elapsed_ms": 13325.51, + "prompt_metrics": { + "chars": 10831, + "bytes_utf8": 10831, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1016, + "bytes_utf8": 1016, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 630, + "bytes_utf8": 630, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15057, + "cached_input_tokens": 12032, + "output_tokens": 687, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ed7964daa9a3197400517e37e353e84de190ee9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Informational, measure_col=BounceRates.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Informational", + "measure_col": "BounceRates", + "item_col": "TrafficType", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.016813, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5af2fdf0e2a423bbabf141a11f06f0b659773b9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-42f1-7090-88c4-e033b76992bb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Informational\\\",\\n \\\"TrafficType\\\",\\n SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"BounceRates\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"BounceRates\\\" AS REAL))) OVER (PARTITION BY \\\"Informational\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\", \\\"TrafficType\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"Informational\\\", item_col=\\\"TrafficType\\\", and measure_col=\\\"BounceRates\\\". CAST(\\\"BounceRates\\\" AS REAL) is applied because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15057,"cached_input_tokens":12032,"output_tokens":687,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d88d7864410e318525269f5d6e603c6d3d88475e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share.\nSELECT\n \"Informational\",\n \"TrafficType\",\n SUM(CAST(\"BounceRates\" AS REAL)) AS total_measure,\n SUM(CAST(\"BounceRates\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"BounceRates\" AS REAL))) OVER (PARTITION BY \"Informational\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Informational\", \"TrafficType\"\nORDER BY share_within_group DESC;","notes":"Used the planned template with group_col=\"Informational\", item_col=\"TrafficType\", and measure_col=\"BounceRates\". CAST(\"BounceRates\" AS REAL) is applied because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_de340f55c10e29f0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..477e8cc59060a5bd3022fc726a9382bef2c16cee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:43.461112+00:00", + "ended_at": "2026-05-19T16:08:46.279599+00:00", + "elapsed_ms": 2818.44, + "returncode": 1, + "prompt_metrics": { + "chars": 10474, + "bytes_utf8": 10474, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21e72963b5d5ba38edb0b5ac0cdb9dd3d028f26f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-14f8-76a3-b482-dbf8146a4153"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c83be84e3bd9968ab2f0ed276a751a8b100f9203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-25c1-7172-a805-c59f85ca363b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36818125f627428d29d0abea1b4b101735b51abf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10964, "bytes_utf8": 10964, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 809, "bytes_utf8": 809, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 12032, "output_tokens": 607, "reasoning_output_tokens": 399}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bc06ec3af8ae94516bdcf0f7a843f5a972d22edf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_dfc83bfb07107edd", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 607, + "total_tokens": 15680, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18205.9, + "sql_execution_elapsed_ms_total": 10.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2b4caa9b66fe5a37da9b22a86ee4bbb0e9410eac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:33.626168+00:00", + "ended_at": "2026-05-19T15:48:51.832098+00:00", + "elapsed_ms": 18205.9, + "prompt_metrics": { + "chars": 10964, + "bytes_utf8": 10964, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1529, + "bytes_utf8": 1529, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 809, + "bytes_utf8": 809, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15073, + "cached_input_tokens": 12032, + "output_tokens": 607, + "reasoning_output_tokens": 399 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9769cf1b238380c9f09049e4ff92011aa28b1301 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=Month, measure_col=OperatingSystems.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Month", + "measure_col": "OperatingSystems", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a31027f00d80f0fa1e85cd86d7ee0f189448e45c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ec-afd4-7a20-be35-32efe364277a"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999329, Requested 15708. Please try again in 451ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Month\\\", SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n WHERE \\\"Month\\\" IS NOT NULL\\n AND TRIM(\\\"Month\\\") <> ''\\n AND \\\"OperatingSystems\\\" IS NOT NULL\\n AND TRIM(\\\"OperatingSystems\\\") <> ''\\n GROUP BY \\\"Month\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Month\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"Month\\\" and measure_col=\\\"OperatingSystems\\\". CAST is applied because the schema stores numeric-looking fields as TEXT, and empty/null values are filtered out for stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15073,"cached_input_tokens":12032,"output_tokens":607,"reasoning_output_tokens":399}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f68509a63334eb714511375d5cda9382fa35b3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Month\", SUM(CAST(\"OperatingSystems\" AS REAL)) AS group_value\n FROM \"m6\"\n WHERE \"Month\" IS NOT NULL\n AND TRIM(\"Month\") <> ''\n AND \"OperatingSystems\" IS NOT NULL\n AND TRIM(\"OperatingSystems\") <> ''\n GROUP BY \"Month\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Month\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the planned template with group_col=\"Month\" and measure_col=\"OperatingSystems\". CAST is applied because the schema stores numeric-looking fields as TEXT, and empty/null values are filtered out for stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_dfc83bfb07107edd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..678d0b695b74083433a7fb8a7d06e54b57de7090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10961, "bytes_utf8": 10961, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15071, "cached_input_tokens": 13696, "output_tokens": 427, "reasoning_output_tokens": 267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..319846358525916099db3a89ec6bcc564f3b4c30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e03ffbf9523c1a10", + "api_calls": 0, + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 427, + "total_tokens": 15498, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14482.95, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac18eefe2b6af476c9463695825c541b35704e0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:19.134520+00:00", + "ended_at": "2026-05-19T15:48:33.617490+00:00", + "elapsed_ms": 14482.95, + "prompt_metrics": { + "chars": 10961, + "bytes_utf8": 10961, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 987, + "bytes_utf8": 987, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 620, + "bytes_utf8": 620, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15071, + "cached_input_tokens": 13696, + "output_tokens": 427, + "reasoning_output_tokens": 267 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6641fb173621cd19934ec9018de03030ade021a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Month, measure_col=OperatingSystems.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Month", + "measure_col": "OperatingSystems", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8851365ef4393ae8466a17ef134fe61796c57cde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-774f-7a80-9807-12fd8011d29e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Month\\\", SUM(CAST(\\\"OperatingSystems\\\" AS REAL)) AS group_value\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Month\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Month\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"Month\\\" and measure_col=\\\"OperatingSystems\\\". Applied CAST(... AS REAL) because the schema snapshot stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15071,"cached_input_tokens":13696,"output_tokens":427,"reasoning_output_tokens":267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25b083fce64730d032aea2a8566ab2da96c50a77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Month\", SUM(CAST(\"OperatingSystems\" AS REAL)) AS group_value\n FROM \"m6\"\n GROUP BY \"Month\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Month\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the required template with group_col=\"Month\" and measure_col=\"OperatingSystems\". Applied CAST(... AS REAL) because the schema snapshot stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e03ffbf9523c1a10/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0af77e0a1bda1ca2efdefe4665fcb01eaecd0920 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11213, "bytes_utf8": 11213, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 672, "bytes_utf8": 672, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15144, "cached_input_tokens": 13696, "output_tokens": 533, "reasoning_output_tokens": 357}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4feaa105551312af585146597d55758065bc6bef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e824ca8da463c77b", + "api_calls": 0, + "input_tokens": 15144, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15677, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13962.16, + "sql_execution_elapsed_ms_total": 9.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..75d2c6a9369a146fe99876ccb0ea9e188ad487bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:43.308869+00:00", + "ended_at": "2026-05-19T15:38:57.271060+00:00", + "elapsed_ms": 13962.16, + "prompt_metrics": { + "chars": 11213, + "bytes_utf8": 11213, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1041, + "bytes_utf8": 1041, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 672, + "bytes_utf8": 672, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15144, + "cached_input_tokens": 13696, + "output_tokens": 533, + "reasoning_output_tokens": 357 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ba99a708af86c51619b6e4ab34bc6da31476626 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Month, condition_col=OperatingSystems.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Month", + "condition_col": "OperatingSystems", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b7f71e613b61c0a3df91276874b1062e219986d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-ae19-72b3-864c-0d05aea886ed"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Month\\\",\\n SUM(CASE WHEN \\\"OperatingSystems\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"OperatingSystems\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"Month\\\"\\n)\\nSELECT \\\"Month\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"Month\\\" and condition_col=\\\"OperatingSystems\\\", comparing value '2' against value '1'. NULLIF prevents division by zero.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15144,"cached_input_tokens":13696,"output_tokens":533,"reasoning_output_tokens":357}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..111b0a0ebcada5484c0c77a381ce3bd375506ee2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"Month\",\n SUM(CASE WHEN \"OperatingSystems\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"OperatingSystems\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"Month\"\n)\nSELECT \"Month\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with group_col=\"Month\" and condition_col=\"OperatingSystems\", comparing value '2' against value '1'. NULLIF prevents division by zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e824ca8da463c77b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f28ad061c9d6d3aeae10ff7e0f9af99ca2a5d8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10572, "bytes_utf8": 10572, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 506, "bytes_utf8": 506, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14990, "cached_input_tokens": 13696, "output_tokens": 385, "reasoning_output_tokens": 248}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ab9f5e6fd9597d8574c0bc1b12839dd3616da7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_e8e383808e66fd1c", + "api_calls": 0, + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 385, + "total_tokens": 15375, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11831.37, + "sql_execution_elapsed_ms_total": 26.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f3cfd5ecf43c69ada9ca0ab74315426086f34bb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:33.120303+00:00", + "ended_at": "2026-05-19T15:43:44.951707+00:00", + "elapsed_ms": 11831.37, + "prompt_metrics": { + "chars": 10572, + "bytes_utf8": 10572, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 866, + "bytes_utf8": 866, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 506, + "bytes_utf8": 506, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14990, + "cached_input_tokens": 13696, + "output_tokens": 385, + "reasoning_output_tokens": 248 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e00f9205bd1b92f8b31b1adbdfc31646afcdf968 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=PageValues.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "PageValues", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..82df6cd0cc4020f3b229573c48a300ad544e2ee0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-19fe-74f0-9645-bb04d3a5e36e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"PageValues\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"PageValues\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m6\\\"\\n)\\nSELECT \\\"PageValues\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"PageValues\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"PageValues\\\" and num_tiles=10. CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14990,"cached_input_tokens":13696,"output_tokens":385,"reasoning_output_tokens":248}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b55e3f3f6ea37384a21a9296c8371ea998ecdda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"PageValues\",\n NTILE(10) OVER (ORDER BY CAST(\"PageValues\" AS REAL) DESC) AS tail_bucket\n FROM \"m6\"\n)\nSELECT \"PageValues\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"PageValues\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"PageValues\" and num_tiles=10. CAST to REAL is used because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_e8e383808e66fd1c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d940626fa473feb4a452280db50ed4bf25c1bd7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10852, "bytes_utf8": 10852, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 688, "bytes_utf8": 688, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 13696, "output_tokens": 597, "reasoning_output_tokens": 415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..02333d588219fc9c3a8f241a3f974c5c3a6ff748 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_eb0feb430036fca3", + "api_calls": 0, + "input_tokens": 15058, + "cached_input_tokens": 13696, + "output_tokens": 597, + "total_tokens": 15655, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12316.31, + "sql_execution_elapsed_ms_total": 28.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..88c1c5420e062e69d0f2b35cb1845b9687c9f248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:15.690225+00:00", + "ended_at": "2026-05-19T15:36:28.006568+00:00", + "elapsed_ms": 12316.31, + "prompt_metrics": { + "chars": 10852, + "bytes_utf8": 10852, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1071, + "bytes_utf8": 1071, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 688, + "bytes_utf8": 688, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15058, + "cached_input_tokens": 13696, + "output_tokens": 597, + "reasoning_output_tokens": 415 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c7b2450fde128b492d978a615be503207756ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=TrafficType, measure_col=Administrative_Duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "TrafficType", + "measure_col": "Administrative_Duration", + "item_col": "ProductRelated", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 56.4, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd016ee52d3f84a6c15f1fba76e9268edb75ce7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-6d43-73d0-98cb-8559b1249bd3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"TrafficType\\\",\\n \\\"ProductRelated\\\",\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) * 100.0 /\\n NULLIF(SUM(SUM(CAST(\\\"Administrative_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"TrafficType\\\"), 0) AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"TrafficType\\\", \\\"ProductRelated\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"TrafficType\\\", item_col=\\\"ProductRelated\\\", and measure_col=\\\"Administrative_Duration\\\". Cast the measure to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15058,"cached_input_tokens":13696,"output_tokens":597,"reasoning_output_tokens":415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..96c0298380fca0a949cd3ed609b51cc2f47c7a7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"TrafficType\",\n \"ProductRelated\",\n SUM(CAST(\"Administrative_Duration\" AS REAL)) AS total_measure,\n SUM(CAST(\"Administrative_Duration\" AS REAL)) * 100.0 /\n NULLIF(SUM(SUM(CAST(\"Administrative_Duration\" AS REAL))) OVER (PARTITION BY \"TrafficType\"), 0) AS share_within_group\nFROM \"m6\"\nGROUP BY \"TrafficType\", \"ProductRelated\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"TrafficType\", item_col=\"ProductRelated\", and measure_col=\"Administrative_Duration\". Cast the measure to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eb0feb430036fca3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c68503a61ab3cd78fadf586b6b11a304bd52467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:54.261716+00:00", + "ended_at": "2026-05-19T16:07:57.418911+00:00", + "elapsed_ms": 3157.17, + "returncode": 1, + "prompt_metrics": { + "chars": 10481, + "bytes_utf8": 10481, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..abc52926470062304bc467df988b4ce6097c1de4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:58.420671+00:00", + "ended_at": "2026-05-19T16:08:01.820225+00:00", + "elapsed_ms": 3399.52, + "returncode": 1, + "prompt_metrics": { + "chars": 10481, + "bytes_utf8": 10481, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a61694ce7d19f571d7e71813ffb62c29b57bb90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Month, measure_col=SpecialDay.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Month", + "measure_col": "SpecialDay", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a61694ce7d19f571d7e71813ffb62c29b57bb90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Month, measure_col=SpecialDay.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Month", + "measure_col": "SpecialDay", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7595d2fe1989335e580d5e30aec4338d757355d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6589-79a2-b2db-b1d6fa2fd8e0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0aea59204dccc2bc6c50c4a4fa16b714a2029239 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6589-79a2-b2db-b1d6fa2fd8e0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a96fca9678f23a0520bd6f1eed43d8bbb4c9925e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-75d4-7ef3-aae7-2849a8ed8cf0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7b92995567c7079618ce3acbdc00a432a44af7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-75d4-7ef3-aae7-2849a8ed8cf0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eda209f2b7f0ea9c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb5e375bdd812dfde30c8f61b0d2d5dcb9694b35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10392, "bytes_utf8": 10392, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14947, "cached_input_tokens": 12032, "output_tokens": 297, "reasoning_output_tokens": 195}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2ef1abfe83147b2cc7f6c7acaad02cd32c86701b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_eddc8386742fbb40", + "api_calls": 0, + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 297, + "total_tokens": 15244, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7967.59, + "sql_execution_elapsed_ms_total": 6.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c0f3c31c78ebf0db4f534a35c579ccf607a1aeef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:32.179962+00:00", + "ended_at": "2026-05-19T16:05:40.147580+00:00", + "elapsed_ms": 7967.59, + "prompt_metrics": { + "chars": 10392, + "bytes_utf8": 10392, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 711, + "bytes_utf8": 711, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 346, + "bytes_utf8": 346, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 297, + "reasoning_output_tokens": 195 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d8557ba1c77cd3b02b48453a75351fcb9c614bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=SpecialDay.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "SpecialDay", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b61dec0a06377d564522288ae917d875abb43b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3a93-7103-92c0-f437bfd3f5ff"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"SpecialDay\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"SpecialDay\\\"\\nORDER BY \\\"support\\\" ASC, \\\"SpecialDay\\\"\\nLIMIT 18;\",\"notes\":\"Instantiated the provided Low-Support Group Count template with group_col=\\\"SpecialDay\\\" and top_k=18 on the single table \\\"m6\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14947,"cached_input_tokens":12032,"output_tokens":297,"reasoning_output_tokens":195}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..830f70fb18668ede390fcb60fe5fbdcf9bcaf272 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"SpecialDay\",\n COUNT(*) AS \"support\"\nFROM \"m6\"\nGROUP BY \"SpecialDay\"\nORDER BY \"support\" ASC, \"SpecialDay\"\nLIMIT 18;","notes":"Instantiated the provided Low-Support Group Count template with group_col=\"SpecialDay\" and top_k=18 on the single table \"m6\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_eddc8386742fbb40/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b190c1859eb957d2ac24f14fdf032b363afd09d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11266, "bytes_utf8": 11266, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15152, "cached_input_tokens": 13696, "output_tokens": 454, "reasoning_output_tokens": 279}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ebf783004c6897bc29e126cc6507af4380aaff8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_ef44400c802db8d7", + "api_calls": 0, + "input_tokens": 15152, + "cached_input_tokens": 13696, + "output_tokens": 454, + "total_tokens": 15606, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10530.39, + "sql_execution_elapsed_ms_total": 6.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fe97accc811a59b74ba5deabafa00c8bab75e042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:57.288580+00:00", + "ended_at": "2026-05-19T15:39:07.819042+00:00", + "elapsed_ms": 10530.39, + "prompt_metrics": { + "chars": 11266, + "bytes_utf8": 11266, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1047, + "bytes_utf8": 1047, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 686, + "bytes_utf8": 686, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15152, + "cached_input_tokens": 13696, + "output_tokens": 454, + "reasoning_output_tokens": 279 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e52e15c493bf8971962ec8d00b0d8656b9b7978c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=OperatingSystems, condition_col=VisitorType.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "OperatingSystems", + "condition_col": "VisitorType", + "condition_value": "Returning_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c872295fa90fbd8109a61f7203e3f44dc02c7362 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-e486-7903-968f-837149fb1218"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"OperatingSystems\\\",\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m6\\\"\\n GROUP BY \\\"OperatingSystems\\\"\\n)\\nSELECT \\\"OperatingSystems\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each OperatingSystems group, the ratio of Returning_Visitor rows to New_Visitor rows using the requested grouped ratio template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15152,"cached_input_tokens":13696,"output_tokens":454,"reasoning_output_tokens":279}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9d7d2d41bf485eb90b262a81cc91c09de6fef46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"OperatingSystems\",\n SUM(CASE WHEN \"VisitorType\" = 'Returning_Visitor' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"VisitorType\" = 'New_Visitor' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m6\"\n GROUP BY \"OperatingSystems\"\n)\nSELECT \"OperatingSystems\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Computes, for each OperatingSystems group, the ratio of Returning_Visitor rows to New_Visitor rows using the requested grouped ratio template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_ef44400c802db8d7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de3570b99e07290ac3bfefbfafd735b32094a687 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10596, "bytes_utf8": 10596, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 2040, "bytes_utf8": 2040, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14975, "cached_input_tokens": 12032, "output_tokens": 1166, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dfd34bd1701cd0a5abaef8cf967d33ac70930e1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_efc17b6bd64701e1", + "api_calls": 0, + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 1166, + "total_tokens": 16141, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18038.91, + "sql_execution_elapsed_ms_total": 45.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..05e0d359aa2602253d4567dece291589c05bfa42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:12.044638+00:00", + "ended_at": "2026-05-19T15:58:30.083570+00:00", + "elapsed_ms": 18038.91, + "prompt_metrics": { + "chars": 10596, + "bytes_utf8": 10596, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2664, + "bytes_utf8": 2664, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2040, + "bytes_utf8": 2040, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14975, + "cached_input_tokens": 12032, + "output_tokens": 1166, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f6425de51faeb8f925dcc2eaecf14104768c4a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=OperatingSystems, measure_col=PageValues.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "PageValues", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..891233dea10d76ab1c576177a4caf409ab85db67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-8369-7e72-a354-bcd6e602bbb2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"OperatingSystems\\\",\\n CAST(\\\"PageValues\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ORDER BY CAST(\\\"PageValues\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"OperatingSystems\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"OperatingSystems\\\" IS NOT NULL\\n AND \\\"PageValues\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"OperatingSystems\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"OperatingSystems\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lo_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"hi_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"hi_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"OperatingSystems\\\" = p.\\\"OperatingSystems\\\"\\n GROUP BY\\n p.\\\"OperatingSystems\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\"\\n)\\nSELECT\\n \\\"OperatingSystems\\\",\\n CASE\\n WHEN \\\"lo_val\\\" IS NULL THEN NULL\\n WHEN \\\"hi_val\\\" IS NULL OR \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates the 0.9 continuous percentile for each \\\"OperatingSystems\\\" group in SQLite using window functions and linear interpolation, since SQLite lacks PERCENTILE_CONT. \\\"PageValues\\\" is cast from TEXT to REAL, and groups with fewer than 5 rows are excluded using the provided minimum group size.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14975,"cached_input_tokens":12032,"output_tokens":1166,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..588faf2c9f5ee00762839b69146c94133c4f176a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"OperatingSystems\",\n CAST(\"PageValues\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"OperatingSystems\"\n ORDER BY CAST(\"PageValues\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"OperatingSystems\"\n ) AS \"cnt\"\n FROM \"m6\"\n WHERE \"OperatingSystems\" IS NOT NULL\n AND \"PageValues\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"OperatingSystems\",\n \"cnt\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) = CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n p.\"OperatingSystems\",\n p.\"cnt\",\n p.\"pos\",\n MAX(CASE WHEN o.\"rn\" = p.\"lo_rn\" THEN o.\"measure_value\" END) AS \"lo_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"hi_rn\" THEN o.\"measure_value\" END) AS \"hi_val\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS o\n ON o.\"OperatingSystems\" = p.\"OperatingSystems\"\n GROUP BY\n p.\"OperatingSystems\",\n p.\"cnt\",\n p.\"pos\"\n)\nSELECT\n \"OperatingSystems\",\n CASE\n WHEN \"lo_val\" IS NULL THEN NULL\n WHEN \"hi_val\" IS NULL OR \"pos\" = CAST(\"pos\" AS INTEGER) THEN \"lo_val\"\n ELSE \"lo_val\" + (\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates the 0.9 continuous percentile for each \"OperatingSystems\" group in SQLite using window functions and linear interpolation, since SQLite lacks PERCENTILE_CONT. \"PageValues\" is cast from TEXT to REAL, and groups with fewer than 5 rows are excluded using the provided minimum group size."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_efc17b6bd64701e1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..015c075cba2f1b00a14971215df36f35efb41eb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:30.642487+00:00", + "ended_at": "2026-05-19T15:59:34.520858+00:00", + "elapsed_ms": 3878.34, + "returncode": 1, + "prompt_metrics": { + "chars": 10666, + "bytes_utf8": 10666, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6bf35ac69ea699b4e3fb52d6524a12b53f06cdda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:35.523472+00:00", + "ended_at": "2026-05-19T15:59:38.741205+00:00", + "elapsed_ms": 3217.68, + "returncode": 1, + "prompt_metrics": { + "chars": 10666, + "bytes_utf8": 10666, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..89da1254add2775666e2e803b6367312a4116226 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=VisitorType, condition_col=OperatingSystems.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "VisitorType", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..89da1254add2775666e2e803b6367312a4116226 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=VisitorType, condition_col=OperatingSystems.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "VisitorType", + "condition_col": "OperatingSystems", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..80450b55660f15416a8b7306a41882853a813ca4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-b664-7092-baa3-27fe42905790"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3842de71218f62a235fdc72750cb84531c47ee0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-b664-7092-baa3-27fe42905790"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc34d92775e5ce5bcd5bdd3f5d0f20006207bbef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-c97f-7771-b71f-6b2d4f0b0e3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..320b3ac39f08b15b69a57142d94f1dea69d3134f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-c97f-7771-b71f-6b2d4f0b0e3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f19f12f7dbfcfa91/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e30ae5023fb57998a40ea61298c995f4bc735062 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10662, "bytes_utf8": 10662, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10662, "bytes_utf8": 10662, "lines": 315, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 470, "bytes_utf8": 470, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15002, "cached_input_tokens": 12032, "output_tokens": 331, "reasoning_output_tokens": 206}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a62d93afda6ab56a3f523905969d73e2c6d127d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f1f9567a571ec0e0", + "api_calls": 0, + "input_tokens": 15002, + "cached_input_tokens": 12032, + "output_tokens": 331, + "total_tokens": 15333, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15023.58, + "sql_execution_elapsed_ms_total": 4.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a792baa7ceb47bee50190fa7c1006168d8b27ff4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:47.298455+00:00", + "ended_at": "2026-05-19T16:00:50.260409+00:00", + "elapsed_ms": 2961.93, + "returncode": 1, + "prompt_metrics": { + "chars": 10662, + "bytes_utf8": 10662, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1bee050e5e7ed25a15af436907c751875da27348 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:51.262518+00:00", + "ended_at": "2026-05-19T16:01:03.324206+00:00", + "elapsed_ms": 12061.65, + "prompt_metrics": { + "chars": 10662, + "bytes_utf8": 10662, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 833, + "bytes_utf8": 833, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 470, + "bytes_utf8": 470, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15002, + "cached_input_tokens": 12032, + "output_tokens": 331, + "reasoning_output_tokens": 206 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a360f767dc6cdabd746bf2f7bc86eb49676357a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Informational, condition_col=SpecialDay.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Informational", + "condition_col": "SpecialDay", + "condition_value": "0.6", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a360f767dc6cdabd746bf2f7bc86eb49676357a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Informational, condition_col=SpecialDay.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Informational", + "condition_col": "SpecialDay", + "condition_value": "0.6", + "positive_value": "0", + "negative_value": "0.6", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a76c141d43e8c5816e630c9eb4f8f4302eff9449 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-e1f2-72f3-8672-28cbd36a8f89"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc2a4d8670601c085c565e3d0bccc4cd234b8ead --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-e1f2-72f3-8672-28cbd36a8f89"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71c7bb1b458918f9306777dae03c8bcfbcbb0609 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-f12c-77c0-b6e2-583241eca773"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Informational\\\",\\n AVG(CASE WHEN \\\"SpecialDay\\\" = '0.6' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Informational\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Used the provided Grouped Condition Rate template with group_col bound to \\\"Informational\\\" and condition_col bound to \\\"SpecialDay\\\". Compared against '0.6' as a string because the schema snapshot shows TEXT columns.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15002,"cached_input_tokens":12032,"output_tokens":331,"reasoning_output_tokens":206}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d679a63dcaa126405811b412be7d3aabfc6624f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Informational\",\n AVG(CASE WHEN \"SpecialDay\" = '0.6' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"Informational\"\nORDER BY \"condition_rate\" DESC;","notes":"Used the provided Grouped Condition Rate template with group_col bound to \"Informational\" and condition_col bound to \"SpecialDay\". Compared against '0.6' as a string because the schema snapshot shows TEXT columns."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f1f9567a571ec0e0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be861b912dc9ad0d941a9ee43944e20433656a0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10816, "bytes_utf8": 10816, "lines": 314, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 636, "bytes_utf8": 636, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15053, "cached_input_tokens": 12032, "output_tokens": 645, "reasoning_output_tokens": 479}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..37d1f75c9bff14c9be9578366dd5b5ad9020e3a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f32d59b3cf221322", + "api_calls": 0, + "input_tokens": 15053, + "cached_input_tokens": 12032, + "output_tokens": 645, + "total_tokens": 15698, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12328.72, + "sql_execution_elapsed_ms_total": 26.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ca39764dde6fa8a04920bbd807d5136fb81fff3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:36.829207+00:00", + "ended_at": "2026-05-19T15:37:49.157954+00:00", + "elapsed_ms": 12328.72, + "prompt_metrics": { + "chars": 10816, + "bytes_utf8": 10816, + "lines": 314, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1020, + "bytes_utf8": 1020, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 636, + "bytes_utf8": 636, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15053, + "cached_input_tokens": 12032, + "output_tokens": 645, + "reasoning_output_tokens": 479 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..06898b144c6ca0ff5bce643033dc4cc7f1c33b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,314 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Revenue, measure_col=ProductRelated.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Revenue", + "measure_col": "ProductRelated", + "item_col": "ExitRates", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ec7fa028d8c85acbdcdd8e9760d58872e42fe8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-aa45-79a2-b891-e7743141c715"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Revenue\\\", \\\"ExitRates\\\",\\n SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ProductRelated\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ProductRelated\\\" AS REAL))) OVER (PARTITION BY \\\"Revenue\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Revenue\\\", \\\"ExitRates\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the provided Within-Group Share of Total template with group_col=\\\"Revenue\\\", item_col=\\\"ExitRates\\\", and measure_col=\\\"ProductRelated\\\". CAST is applied to \\\"ProductRelated\\\" because the schema snapshot shows it stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15053,"cached_input_tokens":12032,"output_tokens":645,"reasoning_output_tokens":479}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f5548fd6c33d7029fad1878435a4ad0cea43c4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Revenue\", \"ExitRates\",\n SUM(CAST(\"ProductRelated\" AS REAL)) AS total_measure,\n SUM(CAST(\"ProductRelated\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ProductRelated\" AS REAL))) OVER (PARTITION BY \"Revenue\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Revenue\", \"ExitRates\"\nORDER BY share_within_group DESC;","notes":"Uses the provided Within-Group Share of Total template with group_col=\"Revenue\", item_col=\"ExitRates\", and measure_col=\"ProductRelated\". CAST is applied to \"ProductRelated\" because the schema snapshot shows it stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f32d59b3cf221322/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c84642257484e441946b1beb4617a85012504aed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10435, "bytes_utf8": 10435, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14941, "cached_input_tokens": 12032, "output_tokens": 440, "reasoning_output_tokens": 338}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d85e23e0d16ded7a69145f5f36706890e11af634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f534dfadeaa825b2", + "api_calls": 0, + "input_tokens": 14941, + "cached_input_tokens": 12032, + "output_tokens": 440, + "total_tokens": 15381, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10061.12, + "sql_execution_elapsed_ms_total": 7.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5237422cb49530011f27f4ee1f26219ff082fe58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:12.277604+00:00", + "ended_at": "2026-05-19T15:30:22.338754+00:00", + "elapsed_ms": 10061.12, + "prompt_metrics": { + "chars": 10435, + "bytes_utf8": 10435, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 758, + "bytes_utf8": 758, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14941, + "cached_input_tokens": 12032, + "output_tokens": 440, + "reasoning_output_tokens": 338 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e36837e01c542fa26f811c7e5a6a306a560149bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Browser, measure_col=ProductRelated_Duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Browser", + "measure_col": "ProductRelated_Duration", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1059.697712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba2d4c67a039ac28782b1f0ac19ef014b92c973b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-e1a3-7910-ac1f-fd6c668d3b2d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Browser\\\",\\n SUM(CAST(\\\"ProductRelated_Duration\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Browser\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped numeric sum template with \\\"Browser\\\" as the grouping column and casts \\\"ProductRelated_Duration\\\" from TEXT to REAL for SQLite-compatible aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14941,"cached_input_tokens":12032,"output_tokens":440,"reasoning_output_tokens":338}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e141bef6e175b4edd1d2b98ebb0be5393eb22c01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"Browser\",\n SUM(CAST(\"ProductRelated_Duration\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"Browser\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the planned grouped numeric sum template with \"Browser\" as the grouping column and casts \"ProductRelated_Duration\" from TEXT to REAL for SQLite-compatible aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f534dfadeaa825b2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..190fff49c674d28a2fabf8ca9fb9d7200ba4639f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10427, "bytes_utf8": 10427, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 408, "bytes_utf8": 408, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 13696, "output_tokens": 246, "reasoning_output_tokens": 147}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fecf16f237e808389ff85b017e2c18f0e337aa01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f5462fa4f2e17d2e", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 246, + "total_tokens": 15183, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12961.2, + "sql_execution_elapsed_ms_total": 8.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9b3a9df2d70fac0f840b9e71200540bc83a35849 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:46.921562+00:00", + "ended_at": "2026-05-19T15:29:59.882789+00:00", + "elapsed_ms": 12961.2, + "prompt_metrics": { + "chars": 10427, + "bytes_utf8": 10427, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1095, + "bytes_utf8": 1095, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 408, + "bytes_utf8": 408, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 246, + "reasoning_output_tokens": 147 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9322676843e35642f21357b8cf56005bb1b824ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=OperatingSystems, measure_col=ProductRelated.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "ProductRelated", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 28.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..50b67f7531c8106283b6a2394a71cfe4622d2790 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-7eb0-7953-99a1-583ffbb1b153"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999523, Requested 15572. Please try again in 452ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"OperatingSystems\\\", SUM(CAST(\\\"ProductRelated\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the bound template roles with \\\"OperatingSystems\\\" as the grouping column and \\\"ProductRelated\\\" as the summed measure. CAST to REAL because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14937,"cached_input_tokens":13696,"output_tokens":246,"reasoning_output_tokens":147}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0825d0d72d9e76f9790590d3e1d7f816c504a6ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"OperatingSystems\", SUM(CAST(\"ProductRelated\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"OperatingSystems\"\nORDER BY total_measure DESC;","notes":"Used the bound template roles with \"OperatingSystems\" as the grouping column and \"ProductRelated\" as the summed measure. CAST to REAL because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f5462fa4f2e17d2e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6b338a44f727adf1c2e3f11dc30fb14bd00c713 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10384, "bytes_utf8": 10384, "lines": 310, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 321, "bytes_utf8": 321, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14946, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 326}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c92f9c2d856fc58d3ff35ff855a6b2add9e5d82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f6c6d4313fed3c8c", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 417, + "total_tokens": 15363, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10266.98, + "sql_execution_elapsed_ms_total": 6.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eedaa6d30b64bb3edc8485edd606ce8fbcb10fc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:15.595651+00:00", + "ended_at": "2026-05-19T16:04:25.862668+00:00", + "elapsed_ms": 10266.98, + "prompt_metrics": { + "chars": 10384, + "bytes_utf8": 10384, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 682, + "bytes_utf8": 682, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 321, + "bytes_utf8": 321, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 417, + "reasoning_output_tokens": 326 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9068dd480b1dfedc40b6e48e5b7a60a1daf3d4ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Revenue.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Revenue", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c585253af01d17cefbd05666ff9d0e817a884123 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-0f83-7570-ad08-9f8c6446ad81"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Revenue\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Revenue\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Revenue\\\"\\nLIMIT 10;\",\"notes\":\"Uses the provided Low-Support Group Count template with \\\"Revenue\\\" as the grouping column and 10 rows requested.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14946,"cached_input_tokens":12032,"output_tokens":417,"reasoning_output_tokens":326}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a9031c99dbe2375d6952f88b6149dc47fa352e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Revenue\",\n COUNT(*) AS \"support\"\nFROM \"m6\"\nGROUP BY \"Revenue\"\nORDER BY \"support\" ASC, \"Revenue\"\nLIMIT 10;","notes":"Uses the provided Low-Support Group Count template with \"Revenue\" as the grouping column and 10 rows requested."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f6c6d4313fed3c8c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e4e458f1fb21b3849e62dbe442cba405cf0b7cc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10680, "bytes_utf8": 10680, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 434, "bytes_utf8": 434, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15003, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 215}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..db8bf3875c72c2a57c0f2af78fbbaf9416771ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f712928cb64b5f12", + "api_calls": 0, + "input_tokens": 15003, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15333, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8854.41, + "sql_execution_elapsed_ms_total": 7.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a35837b57ba1a97ab1392d56acdd399caa57ecee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:46.179330+00:00", + "ended_at": "2026-05-19T15:59:55.033778+00:00", + "elapsed_ms": 8854.41, + "prompt_metrics": { + "chars": 10680, + "bytes_utf8": 10680, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 797, + "bytes_utf8": 797, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 434, + "bytes_utf8": 434, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15003, + "cached_input_tokens": 12032, + "output_tokens": 330, + "reasoning_output_tokens": 215 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7dd21a986878fa9f6a2eb94eac463a1b76ca739 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=Weekend, condition_col=VisitorType.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Weekend", + "condition_col": "VisitorType", + "condition_value": "New_Visitor", + "positive_value": "Returning_Visitor", + "negative_value": "New_Visitor", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97b6040d13354506cf62edf71cb38fe35decacf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-f322-7bf0-9c95-3c7194f3e11b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Weekend\\\",\\n AVG(CASE WHEN \\\"VisitorType\\\" = 'New_Visitor' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Weekend\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"Weekend\\\" and condition_col=\\\"VisitorType\\\", measuring the within-group proportion of rows where VisitorType is 'New_Visitor'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15003,"cached_input_tokens":12032,"output_tokens":330,"reasoning_output_tokens":215}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eeab562c5d60004d556033dd29492e6bf43e9fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Weekend\",\n AVG(CASE WHEN \"VisitorType\" = 'New_Visitor' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m6\"\nGROUP BY \"Weekend\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"Weekend\" and condition_col=\"VisitorType\", measuring the within-group proportion of rows where VisitorType is 'New_Visitor'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f712928cb64b5f12/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85890909ea8c40220a3207091d19a2d4d30886db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10966, "bytes_utf8": 10966, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 706, "bytes_utf8": 706, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15073, "cached_input_tokens": 13696, "output_tokens": 350, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5187c66c66e994f749b31c1e600775c9e4983631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_f7f20cd1a2bdc7eb", + "api_calls": 0, + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 350, + "total_tokens": 15423, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11545.19, + "sql_execution_elapsed_ms_total": 5.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b20692d54c945b1a81e656a11dc625570063aab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:51.848531+00:00", + "ended_at": "2026-05-19T15:49:03.393753+00:00", + "elapsed_ms": 11545.19, + "prompt_metrics": { + "chars": 10966, + "bytes_utf8": 10966, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1121, + "bytes_utf8": 1121, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 706, + "bytes_utf8": 706, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15073, + "cached_input_tokens": 13696, + "output_tokens": 350, + "reasoning_output_tokens": 161 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bc26d13ca91adeaf0eb3412bc516e7b63408cc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=OperatingSystems, measure_col=Browser.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "OperatingSystems", + "measure_col": "Browser", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15074a6ba7ad83b4c55a8699d5cb1d0a90d4e81d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"OperatingSystems\", SUM(CAST(\"Browser\" AS REAL)) AS \"group_value\"\n FROM \"m6\"\n GROUP BY \"OperatingSystems\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"OperatingSystems\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"OperatingSystems\" and measure_col=\"Browser\". CAST was added because the schema snapshot stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f7f20cd1a2bdc7eb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..51573a730f32ab693f845f6d101b0e8a837e9ad1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:40.160790+00:00", + "ended_at": "2026-05-19T16:05:42.932871+00:00", + "elapsed_ms": 2772.04, + "returncode": 1, + "prompt_metrics": { + "chars": 10380, + "bytes_utf8": 10380, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..26af6d7ef55b47417f7b0a8220e73068e7a9f7f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:43.935346+00:00", + "ended_at": "2026-05-19T16:05:48.263453+00:00", + "elapsed_ms": 4328.08, + "returncode": 1, + "prompt_metrics": { + "chars": 10380, + "bytes_utf8": 10380, + "lines": 310, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4b1f9f2ce7378c5aadf42ef2979abd17078a44c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Month", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4b1f9f2ce7378c5aadf42ef2979abd17078a44c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,310 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Month.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Month", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaf49d853f87e3a95e39ec1d5fdbe3a506e380bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-59d6-76e2-ac93-c0270677b9ae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d210ee64e53088f049bfc6e75ac5963863d9331d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-59d6-76e2-ac93-c0270677b9ae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..abd8e880afa10fb10e67f2997c448be2311a1c11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-6897-7ce0-ba24-ef0060196487"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..325f03c3b3de0737194aba6a3e4ab108feea71fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-6897-7ce0-ba24-ef0060196487"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_f9c5b00cb656ceab/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..420973ba1b91864fe1ef340e20fb01c45c07f216 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10672, "bytes_utf8": 10672, "lines": 315, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 429, "bytes_utf8": 429, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14999, "cached_input_tokens": 12032, "output_tokens": 247, "reasoning_output_tokens": 140}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5091a52b6b5d58dbe80594560337b3950ca38179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_fab6832838b00689", + "api_calls": 0, + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 15246, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7971.77, + "sql_execution_elapsed_ms_total": 5.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7602537a3f67c6283f89fe297d9d381294c66773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:05.179187+00:00", + "ended_at": "2026-05-19T16:02:13.150977+00:00", + "elapsed_ms": 7971.77, + "prompt_metrics": { + "chars": 10672, + "bytes_utf8": 10672, + "lines": 315, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 784, + "bytes_utf8": 784, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 429, + "bytes_utf8": 429, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14999, + "cached_input_tokens": 12032, + "output_tokens": 247, + "reasoning_output_tokens": 140 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58dd3ee331bf520177eb29691a46fa7e15ed7c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,315 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=OperatingSystems, condition_col=Weekend.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "OperatingSystems", + "condition_col": "Weekend", + "condition_value": "TRUE", + "positive_value": "FALSE", + "negative_value": "TRUE", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1464.157214, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9928058f483b5b1d4a712bc9300d67eaf736f40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-120c-7151-b4d6-0996b26dcbb6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"OperatingSystems\\\",\\n AVG(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"OperatingSystems\\\" and condition_col=\\\"Weekend\\\", measuring the within-group proportion of rows where Weekend = 'TRUE'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14999,"cached_input_tokens":12032,"output_tokens":247,"reasoning_output_tokens":140}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9dab5f719a75753dfba790e18acab2093d675e66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"OperatingSystems\",\n AVG(CASE WHEN \"Weekend\" = 'TRUE' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m6\"\nGROUP BY \"OperatingSystems\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"OperatingSystems\" and condition_col=\"Weekend\", measuring the within-group proportion of rows where Weekend = 'TRUE'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fab6832838b00689/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa166338798a52fd554f183974e7b0cc540a5d66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10418, "bytes_utf8": 10418, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14939, "cached_input_tokens": 12032, "output_tokens": 282, "reasoning_output_tokens": 174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ade8eb1b86467bc96676d46606c0a6d135bb2a2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_fbbdd9df7049b8b2", + "api_calls": 0, + "input_tokens": 14939, + "cached_input_tokens": 12032, + "output_tokens": 282, + "total_tokens": 15221, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7963.86, + "sql_execution_elapsed_ms_total": 7.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..018720803c1f47ba32c4a3492ec13ffe4e321bb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:17.852895+00:00", + "ended_at": "2026-05-19T15:29:25.816785+00:00", + "elapsed_ms": 7963.86, + "prompt_metrics": { + "chars": 10418, + "bytes_utf8": 10418, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 775, + "bytes_utf8": 775, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 409, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14939, + "cached_input_tokens": 12032, + "output_tokens": 282, + "reasoning_output_tokens": 174 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7bacfc090c9f9814a3c91d66961f52cb60d0925d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Month, measure_col=Informational_Duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "Month", + "measure_col": "Informational_Duration", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f69fb42f01e7cf87ec5a9ca686067cc2a948b19c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-0d10-7db2-9cbd-74716f29ae71"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Month\\\", SUM(CAST(\\\"Informational_Duration\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Month\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"Month\\\" and measure_col=\\\"Informational_Duration\\\". Casted \\\"Informational_Duration\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14939,"cached_input_tokens":12032,"output_tokens":282,"reasoning_output_tokens":174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..81770b02607f5a20dd4b8359a64f877ef06f1d33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Month\", SUM(CAST(\"Informational_Duration\" AS REAL)) AS \"total_measure\"\nFROM \"m6\"\nGROUP BY \"Month\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required grouped numeric sum template with group_col=\"Month\" and measure_col=\"Informational_Duration\". Casted \"Informational_Duration\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fbbdd9df7049b8b2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..65c6edcd8c175b08226d665686b3dad1671449a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10615, "bytes_utf8": 10615, "lines": 312, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 941, "bytes_utf8": 941, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 768, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..16dfc76cec1e49937aa93b1d82283021629df416 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m6", + "model": "v2-cli:codex", + "run_id": "v2q_m6_fcc1f0615f927b4c", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 768, + "total_tokens": 15746, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14995.94, + "sql_execution_elapsed_ms_total": 26.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..701d71e601d1ae2e30897e33686655a00b2712b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:06.372448+00:00", + "ended_at": "2026-05-19T15:51:21.368414+00:00", + "elapsed_ms": 14995.94, + "prompt_metrics": { + "chars": 10615, + "bytes_utf8": 10615, + "lines": 312, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1367, + "bytes_utf8": 1367, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 941, + "bytes_utf8": 941, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 768, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0cf354997b12af114386d908e652d3701c5cb84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,312 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m6 +- dataset_name: Online Shoppers Purchasing Intention Dataset +- table_name: m6 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`. +- task_type: classification +- target_column: VisitorType +- main_row_count: 12330 +- important_fields: +- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative. +- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration. +- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational. +- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration. +- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated. +- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration. +- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates. +- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates. +- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues. +- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay. +- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month. +- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems. +- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser. +- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region. +- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType. +- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType. +- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend. +- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue. +- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']] +- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated'] +- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset + +SQLite schema snapshot: +{ + "table_name": "m6", + "quoted_table_name": "\"m6\"", + "row_count": 12330, + "columns": [ + { + "name": "Administrative", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Administrative_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Informational_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ProductRelated_Duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "BounceRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ExitRates", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "PageValues", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "SpecialDay", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "OperatingSystems", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Browser", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "TrafficType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "VisitorType", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Weekend", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Revenue", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "1", + "Browser": "1", + "Region": "1", + "TrafficType": "1", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "64", + "BounceRates": "0", + "ExitRates": "0.1", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "2", + "Browser": "2", + "Region": "1", + "TrafficType": "2", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "1", + "ProductRelated_Duration": "0", + "BounceRates": "0.2", + "ExitRates": "0.2", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "4", + "Browser": "1", + "Region": "9", + "TrafficType": "3", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "2", + "ProductRelated_Duration": "2.666666667", + "BounceRates": "0.05", + "ExitRates": "0.14", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "2", + "Region": "2", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "FALSE", + "Revenue": "FALSE" + }, + { + "Administrative": "0", + "Administrative_Duration": "0", + "Informational": "0", + "Informational_Duration": "0", + "ProductRelated": "10", + "ProductRelated_Duration": "627.5", + "BounceRates": "0.02", + "ExitRates": "0.05", + "PageValues": "0", + "SpecialDay": "0", + "Month": "Feb", + "OperatingSystems": "3", + "Browser": "3", + "Region": "1", + "TrafficType": "4", + "VisitorType": "Returning_Visitor", + "Weekend": "TRUE", + "Revenue": "FALSE" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m6", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=VisitorType, measure_col=Administrative_Duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "VisitorType", + "measure_col": "Administrative_Duration", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.25625, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..527494b6756535185822b6bbd2a09ae71f4b4ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-0492-7ac2-a166-41e123a9498e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"VisitorType\\\" AS \\\"group_col\\\",\\n CAST(\\\"Administrative_Duration\\\" AS REAL) AS \\\"measure_col\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"VisitorType\\\"\\n ORDER BY CAST(\\\"Administrative_Duration\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"VisitorType\\\" IS NOT NULL\\n AND \\\"Administrative_Duration\\\" IS NOT NULL\\n AND TRIM(\\\"Administrative_Duration\\\") <> ''\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"VisitorType\\\",\\n MIN(\\\"measure_col\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.9\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the smallest Administrative_Duration value in each VisitorType group whose cumulative distribution reaches 0.9, with Administrative_Duration cast from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":768,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..042e1f318e89dbe84848c4a6410837ab5c269143 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"VisitorType\" AS \"group_col\",\n CAST(\"Administrative_Duration\" AS REAL) AS \"measure_col\",\n CUME_DIST() OVER (\n PARTITION BY \"VisitorType\"\n ORDER BY CAST(\"Administrative_Duration\" AS REAL)\n ) AS \"cume_dist\"\n FROM \"m6\"\n WHERE \"VisitorType\" IS NOT NULL\n AND \"Administrative_Duration\" IS NOT NULL\n AND TRIM(\"Administrative_Duration\") <> ''\n)\nSELECT\n \"group_col\" AS \"VisitorType\",\n MIN(\"measure_col\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist\" >= 0.9\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the smallest Administrative_Duration value in each VisitorType group whose cumulative distribution reaches 0.9, with Administrative_Duration cast from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_fcc1f0615f927b4c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391