diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0e15d21dfa6726a60b957c74514e78b0520a534 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0. +Result preview: [{"ord_0": "3"}, {"ord_0": "3"}, {"ord_0": "3"}, {"ord_0": "3"}, {"ord_0": "3"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9fd19637903ccd052146876751e62ccc6b598af5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_c14_020e0a2a5441efb1 +-- problem_id: v2p_c14_09ab20c1177e904b +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "ord_0", + NTILE(10) OVER (ORDER BY CAST("ord_0" AS INTEGER) DESC) AS tail_bucket + FROM "c14" +) +SELECT "ord_0" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("ord_0" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b7293f91f3eafccd1c90a7c49169baecaa4de45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"ord_0\",\n NTILE(10) OVER (ORDER BY CAST(\"ord_0\" AS INTEGER) DESC) AS tail_bucket\n FROM \"c14\"\n)\nSELECT \"ord_0\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"ord_0\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"ord_0\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"ord_0\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC;\", \"columns\": [\"ord_0\"], \"rows\": [{\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 403.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..64890528c4cc1f9ec6facbc11e2be399d9dc302a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:45:35.367130+00:00", + "ended_at": "2026-05-19T15:45:51.716524+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_020e0a2a5441efb1", + "problem_id": "v2p_c14_09ab20c1177e904b", + "dataset_id": "c14", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "bindings": { + "measure_col": "ord_0", + "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": 2.5, + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=61" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_020e0a2a5441efb1.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_020e0a2a5441efb1", + "api_calls": 0, + "input_tokens": 15961, + "cached_input_tokens": 14720, + "output_tokens": 521, + "total_tokens": 16482, + "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": 15925.65, + "sql_execution_elapsed_ms_total": 403.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/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_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8c8d968d6318f7292e097967d8b0c20836c60ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:51.309849+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15925.65, "started_at": "2026-05-19T15:45:35.383369+00:00", "ended_at": "2026-05-19T15:45:51.309038+00:00", "prompt_metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 527, "bytes_utf8": 527, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15961, "cached_input_tokens": 14720, "output_tokens": 521, "reasoning_output_tokens": 370}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"ord_0\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"ord_0\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"ord_0\\\" and num_tiles=10. CAST to INTEGER is applied for correct numeric tail ordering because \\\"ord_0\\\" is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ee1ce2bf1a42c91a535408ab111e0d49976caea1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_020e0a2a5441efb1", + "api_calls": 0, + "input_tokens": 15961, + "cached_input_tokens": 14720, + "output_tokens": 521, + "total_tokens": 16482, + "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": 15925.65, + "sql_execution_elapsed_ms_total": 403.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/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_d/c14/artifacts/v2q_c14_061ee8bedb20320f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3344416844216c345f54d2eb6379f1ac1050c60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 223018, "support_share": 0.7433933333333334, "support_rank": 1}, {"value_label": "1", "support": 76982, "support_share": 0.25660666666666665, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..762ba486ad932ac33f572c8b4904155aa3bcf67e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c14_061ee8bedb20320f +-- problem_id: v2p_c14_28bcfa5b05633f28 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "bin_1" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "bin_1" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f528e834e7da1446e464006ce8035f13bb65eea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_061ee8bedb20320f\n-- problem_id: v2p_c14_28bcfa5b05633f28\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"bin_1\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"bin_1\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_061ee8bedb20320f\\n-- problem_id: v2p_c14_28bcfa5b05633f28\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"bin_1\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_1\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 223018, \"support_share\": 0.7433933333333334, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 76982, \"support_share\": 0.25660666666666665, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 119.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3b3ceb2b0b01c0f2ee76a11c010f01b8956a77a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:55.437340+00:00", + "ended_at": "2026-05-19T16:12:55.558738+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_061ee8bedb20320f", + "problem_id": "v2p_c14_28bcfa5b05633f28", + "dataset_id": "c14", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=bin_1.", + "bindings": { + "group_col": "bin_1" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_061ee8bedb20320f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..370e6d759f2bb9cccb03eb814850c06406ed17f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Oboe", "support": 92293, "support_share": 0.3076433333333333, "support_rank": 1}, {"value_label": "Piano", "support": 84517, "support_share": 0.2817233333333333, "support_rank": 2}, {"value_label": "Bassoon", "support": 68448, "support_share": 0.22816, "support_rank": 3}, {"value_label": "Theremin", "support": 54742, "support_share": 0.18247333333333332, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..605b120f54036c5962438b399aa4d9ac6903d476 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c14_0c2b064acf27cc64 +-- problem_id: v2p_c14_b013bb7aafc7d184 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "nom_4" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "nom_4" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..13281d87e299fa9c61bc59957da1927d7eff1319 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_0c2b064acf27cc64\n-- problem_id: v2p_c14_b013bb7aafc7d184\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"nom_4\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"nom_4\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_0c2b064acf27cc64\\n-- problem_id: v2p_c14_b013bb7aafc7d184\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"nom_4\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_4\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Oboe\", \"support\": 92293, \"support_share\": 0.3076433333333333, \"support_rank\": 1}, {\"value_label\": \"Piano\", \"support\": 84517, \"support_share\": 0.2817233333333333, \"support_rank\": 2}, {\"value_label\": \"Bassoon\", \"support\": 68448, \"support_share\": 0.22816, \"support_rank\": 3}, {\"value_label\": \"Theremin\", \"support\": 54742, \"support_share\": 0.18247333333333332, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 144.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..28e6b2c6463dabc678cb66184e466e8ba11d14f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:56.113509+00:00", + "ended_at": "2026-05-19T16:12:56.259361+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_0c2b064acf27cc64", + "problem_id": "v2p_c14_b013bb7aafc7d184", + "dataset_id": "c14", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=nom_4.", + "bindings": { + "group_col": "nom_4" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_0c2b064acf27cc64.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e8b73a5d867e27ba384c479526d97587eb703b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11685, "bytes_utf8": 11685, "lines": 396, "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": 340, "bytes_utf8": 340, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15910, "cached_input_tokens": 12032, "output_tokens": 388, "reasoning_output_tokens": 288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9829d9326862a2e75c0d59e7508303d05e9befc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_0ce9623600e98e90", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 388, + "total_tokens": 16298, + "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": 9264.87, + "sql_execution_elapsed_ms_total": 135.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/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_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2335658759f640034981fd707f7675f185f842f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/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": "2026-05-19T15:28:50.444206+00:00", + "ended_at": "2026-05-19T15:28:59.709105+00:00", + "elapsed_ms": 9264.87, + "prompt_metrics": { + "chars": 11685, + "bytes_utf8": 11685, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 694, + "bytes_utf8": 694, + "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": 340, + "bytes_utf8": 340, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 388, + "reasoning_output_tokens": 288 + } + }, + "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_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4771c9e9e627e7f60e2ad3a0910ce2de08ddba7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_1, measure_col=ord_0.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_1", + "measure_col": "ord_0", + "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": 2.32, + "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_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..612cac9a7c9412d28213ffbad36d5c53398a673d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-a200-7570-8c89-6b049a828936"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_1\\\", SUM(CAST(\\\"ord_0\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped numeric sum template with \\\"bin_1\\\" as the grouping column and cast \\\"ord_0\\\" from TEXT to INTEGER so SQLite sums it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15910,"cached_input_tokens":12032,"output_tokens":388,"reasoning_output_tokens":288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c75f2450c47e0c0f36c29c4fbe4bd6e3ad8ae4f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_1\", SUM(CAST(\"ord_0\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"bin_1\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped numeric sum template with \"bin_1\" as the grouping column and cast \"ord_0\" from TEXT to INTEGER so SQLite sums it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..140f5724d28b3fc835fcbddcd2396b6197100a69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11860, "bytes_utf8": 11860, "lines": 396, "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": 1828, "bytes_utf8": 1828, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 14720, "output_tokens": 3001, "reasoning_output_tokens": 2340}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ba29a17f01da5b687f1cbd5d38254606b6aded4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_0e7cbd59ed81486a", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3001, + "total_tokens": 18945, + "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": 42441.53, + "sql_execution_elapsed_ms_total": 974.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/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_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb6b38fdfa6731aafbcc93a43bcca1df2a48ef34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/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": "2026-05-19T15:52:24.456327+00:00", + "ended_at": "2026-05-19T15:53:06.897888+00:00", + "elapsed_ms": 42441.53, + "prompt_metrics": { + "chars": 11860, + "bytes_utf8": 11860, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2540, + "bytes_utf8": 2540, + "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": 1828, + "bytes_utf8": 1828, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3001, + "reasoning_output_tokens": 2340 + } + }, + "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_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..559ffb1f83dd5d8561abfc35f57e4e2f61502a97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_2", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb6813d552c577dae8435ccd9d29a9434b253cad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-357d-7fe1-96c1-c5047a296ac0"} +{"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 \\\"ord_2\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_2\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"ord_2\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"id\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"ord_2\\\",\\n (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lo\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"n\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"hi\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"p\\\".\\\"ord_2\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lo\\\",\\n \\\"p\\\".\\\"hi\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"measure\\\" END) AS \\\"lo_measure\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi\\\" THEN \\\"o\\\".\\\"measure\\\" END) AS \\\"hi_measure\\\"\\n FROM \\\"params\\\" AS \\\"p\\\"\\n JOIN \\\"ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"ord_2\\\" IS \\\"p\\\".\\\"ord_2\\\"\\n AND \\\"o\\\".\\\"rn\\\" IN (\\\"p\\\".\\\"lo\\\", \\\"p\\\".\\\"hi\\\")\\n GROUP BY\\n \\\"p\\\".\\\"ord_2\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lo\\\",\\n \\\"p\\\".\\\"hi\\\"\\n)\\nSELECT\\n \\\"ord_2\\\",\\n CASE\\n WHEN \\\"lo\\\" = \\\"hi\\\" THEN \\\"lo_measure\\\"\\n ELSE \\\"lo_measure\\\" + (\\\"pos\\\" - \\\"lo\\\") * (\\\"hi_measure\\\" - \\\"lo_measure\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"ord_2\\\" and measure_col=\\\"id\\\". Since SQLite lacks PERCENTILE_CONT, this emulates the 95th percentile with window functions and linear interpolation, casting \\\"id\\\" from TEXT to REAL for numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":14720,"output_tokens":3001,"reasoning_output_tokens":2340}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07a8ee71201257391e629d2daf987ec110adde9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"ord_2\",\n CAST(\"id\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_2\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"ord_2\"\n ) AS \"n\"\n FROM \"c14\"\n WHERE \"id\" IS NOT NULL\n),\n\"params\" AS (\n SELECT DISTINCT\n \"ord_2\",\n (1.0 + 0.95 * (\"n\" - 1)) AS \"pos\",\n CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) AS \"lo\",\n CASE\n WHEN (1.0 + 0.95 * (\"n\" - 1)) = CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) + 1\n END AS \"hi\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n \"p\".\"ord_2\",\n \"p\".\"pos\",\n \"p\".\"lo\",\n \"p\".\"hi\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lo\" THEN \"o\".\"measure\" END) AS \"lo_measure\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"hi\" THEN \"o\".\"measure\" END) AS \"hi_measure\"\n FROM \"params\" AS \"p\"\n JOIN \"ordered\" AS \"o\"\n ON \"o\".\"ord_2\" IS \"p\".\"ord_2\"\n AND \"o\".\"rn\" IN (\"p\".\"lo\", \"p\".\"hi\")\n GROUP BY\n \"p\".\"ord_2\",\n \"p\".\"pos\",\n \"p\".\"lo\",\n \"p\".\"hi\"\n)\nSELECT\n \"ord_2\",\n CASE\n WHEN \"lo\" = \"hi\" THEN \"lo_measure\"\n ELSE \"lo_measure\" + (\"pos\" - \"lo\") * (\"hi_measure\" - \"lo_measure\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Uses the planned template with group_col=\"ord_2\" and measure_col=\"id\". Since SQLite lacks PERCENTILE_CONT, this emulates the 95th percentile with window functions and linear interpolation, casting \"id\" from TEXT to REAL for numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d432d85cd8bca12328c4869e484a54a04f07ab88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:06:58.457451+00:00", + "ended_at": "2026-05-19T16:07:05.317906+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_0fcdf90112f27537", + "problem_id": "v2p_c14_2ed6759a63351ba1", + "dataset_id": "c14", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=ord_3, condition_col=day.", + "bindings": { + "group_col": "ord_3", + "condition_col": "day", + "condition_value": "2", + "positive_value": "1", + "negative_value": "2", + "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": 9.0, + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab6d89a924a59c494150fe7cbd263e0f95cfca1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:01.521252+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3040.43, "started_at": "2026-05-19T16:06:58.480065+00:00", "ended_at": "2026-05-19T16:07:01.520528+00:00", "prompt_metrics": {"chars": 11921, "bytes_utf8": 11921, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-8baf-76f3-b641-af32d03b54c6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:05.317817+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2794.98, "started_at": "2026-05-19T16:07:02.522102+00:00", "ended_at": "2026-05-19T16:07:05.317115+00:00", "prompt_metrics": {"chars": 11921, "bytes_utf8": 11921, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-9b8a-7da0-934d-8b2f9a49d4dd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..975c1fca3448828ee6b786bfa08697429fec79d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_0, measure_col=id. +Result preview: [{"ord_0": "3", "nom_9": "a67d22f37", "total_measure": 2737068, "share_within_group": 0.04703740330354198}, {"ord_0": "3", "nom_9": "98c24a69a", "total_measure": 2537673, "share_within_group": 0.04361073541231321}, {"ord_0": "3", "nom_9": "ffac03704", "total_measure": 2515477, "share_within_group": 0.04322928993718237}, {"ord_0": "3", "nom_9": "c307a2484", "total_measure": 2493816, "share_within_group": 0.04285703861096102}, {"ord_0": "2", "nom_9": "263bed53b", "total_measure": 4081754, "share_within_group": 0.04099905885186952}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..656f7b9238a3ba0b12bc9f193f3301c97c4d4bc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_1067b4904090010b +-- problem_id: v2p_c14_67caa38caaf4b050 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_0", + "nom_9", + SUM(CAST("id" AS INTEGER)) AS total_measure, + SUM(CAST("id" AS INTEGER)) * 100.0 / SUM(SUM(CAST("id" AS INTEGER))) OVER (PARTITION BY "ord_0") AS share_within_group +FROM "c14" +GROUP BY "ord_0", "nom_9" +ORDER BY share_within_group DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4a51878dc6d2288fb1ed7888d6eb7af6e84af819 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_0\",\n \"nom_9\",\n SUM(CAST(\"id\" AS INTEGER)) AS total_measure,\n SUM(CAST(\"id\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"id\" AS INTEGER))) OVER (PARTITION BY \"ord_0\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_0\", \"nom_9\"\nORDER BY share_within_group DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS INTEGER))) OVER (PARTITION BY \\\"ord_0\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\", \"columns\": [\"ord_0\", \"nom_9\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_0\": \"3\", \"nom_9\": \"a67d22f37\", \"total_measure\": 2737068, \"share_within_group\": 0.04703740330354198}, {\"ord_0\": \"3\", \"nom_9\": \"98c24a69a\", \"total_measure\": 2537673, \"share_within_group\": 0.04361073541231321}, {\"ord_0\": \"3\", \"nom_9\": \"ffac03704\", \"total_measure\": 2515477, \"share_within_group\": 0.04322928993718237}, {\"ord_0\": \"3\", \"nom_9\": \"c307a2484\", \"total_measure\": 2493816, \"share_within_group\": 0.04285703861096102}, {\"ord_0\": \"2\", \"nom_9\": \"263bed53b\", \"total_measure\": 4081754, \"share_within_group\": 0.04099905885186952}, {\"ord_0\": \"3\", \"nom_9\": \"a6fb9d55e\", \"total_measure\": 2330189, \"share_within_group\": 0.040045055426637985}, {\"ord_0\": \"3\", \"nom_9\": \"86c140ea6\", \"total_measure\": 2321013, \"share_within_group\": 0.039887362883846464}, {\"ord_0\": \"3\", \"nom_9\": \"191fb13ac\", \"total_measure\": 2308439, \"share_within_group\": 0.039671274606485896}, {\"ord_0\": \"3\", \"nom_9\": \"7e3136a87\", \"total_measure\": 2307510, \"share_within_group\": 0.03965530943950101}, {\"ord_0\": \"2\", \"nom_9\": \"28248c941\", \"total_measure\": 3806201, \"share_within_group\": 0.03823127479045641}, {\"ord_0\": \"3\", \"nom_9\": \"667b8da69\", \"total_measure\": 2181106, \"share_within_group\": 0.037483015610052524}, {\"ord_0\": \"3\", \"nom_9\": \"508fd7e0b\", \"total_measure\": 2179835, \"share_within_group\": 0.037461173061895586}, {\"ord_0\": \"3\", \"nom_9\": \"38039d3a8\", \"total_measure\": 2175024, \"share_within_group\": 0.037378494463010455}, {\"ord_0\": \"3\", \"nom_9\": \"f27970f59\", \"total_measure\": 2171282, \"share_within_group\": 0.03731418697661923}, {\"ord_0\": \"3\", \"nom_9\": \"abfdb0ce6\", \"total_measure\": 2139890, \"share_within_group\": 0.03677470525219558}, {\"ord_0\": \"3\", \"nom_9\": \"b043b3d84\", \"total_measure\": 2135894, \"share_within_group\": 0.03670603269323798}, {\"ord_0\": \"3\", \"nom_9\": \"b2afd76a3\", \"total_measure\": 2124640, \"share_within_group\": 0.036512629044962504}, {\"ord_0\": \"3\", \"nom_9\": \"46ce8acaf\", \"total_measure\": 2123392, \"share_within_group\": 0.03649118175928205}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 405.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d48d2497ce3f565c5c413154c57c9ba0a46ff76c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:36:50.347178+00:00", + "ended_at": "2026-05-19T15:37:04.077081+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_1067b4904090010b", + "problem_id": "v2p_c14_67caa38caaf4b050", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_0, measure_col=id.", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "item_col": "nom_9", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_1067b4904090010b.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_1067b4904090010b", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 695, + "total_tokens": 16720, + "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": 13305.46, + "sql_execution_elapsed_ms_total": 405.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/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_d/c14/artifacts/v2q_c14_1067b4904090010b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..28e901df96e73c783d8c11e6b7fc480a76e05c5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:03.669594+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13305.46, "started_at": "2026-05-19T15:36:50.363064+00:00", "ended_at": "2026-05-19T15:37:03.668553+00:00", "prompt_metrics": {"chars": 12086, "bytes_utf8": 12086, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 579, "bytes_utf8": 579, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 695, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS INTEGER))) OVER (PARTITION BY \\\"ord_0\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Used the planned template with group_col=\\\"ord_0\\\", item_col=\\\"nom_9\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to INTEGER because it is stored as TEXT in the SQLite schema but represents numeric identifier values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3498e936c6ee83ac801e4f638b90921087c0c266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_1067b4904090010b", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 695, + "total_tokens": 16720, + "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": 13305.46, + "sql_execution_elapsed_ms_total": 405.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/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_d/c14/artifacts/v2q_c14_119b90b4149dcde9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..38ed53965be7a26cf82da3284872c23148cfbe34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, measure_col=id. +Result preview: [{"ord_4": "M", "nom_5": "72f8028dc", "total_measure": 938468, "share_within_group": 4.00140465391381}, {"ord_4": "M", "nom_5": "06eeaf0aa", "total_measure": 889675, "share_within_group": 3.7933628908718986}, {"ord_4": "M", "nom_5": "475e79160", "total_measure": 810905, "share_within_group": 3.4575063197487585}, {"ord_4": "M", "nom_5": "778fdbe56", "total_measure": 745814, "share_within_group": 3.1799737556891383}, {"ord_4": "M", "nom_5": "83b38aa6b", "total_measure": 612419, "share_within_group": 2.611209158698263}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..860afa940a79c5d9fb7b61b73f3ce99a7aa4ea3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_119b90b4149dcde9 +-- problem_id: v2p_c14_bad9dff471961df9 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_4", + "nom_5", + SUM(CAST("id" AS NUMERIC)) AS total_measure, + SUM(CAST("id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("id" AS NUMERIC))) OVER (PARTITION BY "ord_4") AS share_within_group +FROM "c14" +GROUP BY "ord_4", "nom_5" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..964d128bcfb801a157546a5000b855982a84d9e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_4\",\n \"nom_5\",\n SUM(CAST(\"id\" AS NUMERIC)) AS total_measure,\n SUM(CAST(\"id\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"id\" AS NUMERIC))) OVER (PARTITION BY \"ord_4\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_4\", \"nom_5\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_4\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"ord_4\", \"nom_5\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_4\": \"M\", \"nom_5\": \"72f8028dc\", \"total_measure\": 938468, \"share_within_group\": 4.00140465391381}, {\"ord_4\": \"M\", \"nom_5\": \"06eeaf0aa\", \"total_measure\": 889675, \"share_within_group\": 3.7933628908718986}, {\"ord_4\": \"M\", \"nom_5\": \"475e79160\", \"total_measure\": 810905, \"share_within_group\": 3.4575063197487585}, {\"ord_4\": \"M\", \"nom_5\": \"778fdbe56\", \"total_measure\": 745814, \"share_within_group\": 3.1799737556891383}, {\"ord_4\": \"M\", \"nom_5\": \"83b38aa6b\", \"total_measure\": 612419, \"share_within_group\": 2.611209158698263}, {\"ord_4\": \"M\", \"nom_5\": \"640e1fdd5\", \"total_measure\": 499856, \"share_within_group\": 2.1312672618424298}, {\"ord_4\": \"M\", \"nom_5\": \"05950689f\", \"total_measure\": 485055, \"share_within_group\": 2.068159313268181}, {\"ord_4\": \"M\", \"nom_5\": \"eb69430d6\", \"total_measure\": 472378, \"share_within_group\": 2.0141075962169173}, {\"ord_4\": \"M\", \"nom_5\": \"de04b8750\", \"total_measure\": 470310, \"share_within_group\": 2.0052901353932193}, {\"ord_4\": \"M\", \"nom_5\": \"4464569ee\", \"total_measure\": 468551, \"share_within_group\": 1.997790177178092}, {\"ord_4\": \"M\", \"nom_5\": \"e6f45aa26\", \"total_measure\": 461319, \"share_within_group\": 1.9669546468700743}, {\"ord_4\": \"M\", \"nom_5\": \"b97f51ac4\", \"total_measure\": 404269, \"share_within_group\": 1.723706996970682}, {\"ord_4\": \"M\", \"nom_5\": \"a5c276589\", \"total_measure\": 399476, \"share_within_group\": 1.7032707833691432}, {\"ord_4\": \"M\", \"nom_5\": \"5a466e166\", \"total_measure\": 399015, \"share_within_group\": 1.7013051888625066}, {\"ord_4\": \"M\", \"nom_5\": \"075ceb58b\", \"total_measure\": 386820, \"share_within_group\": 1.6493086053301125}, {\"ord_4\": \"M\", \"nom_5\": \"91bde92fa\", \"total_measure\": 369188, \"share_within_group\": 1.5741299451543704}, {\"ord_4\": \"M\", \"nom_5\": \"be5592604\", \"total_measure\": 366722, \"share_within_group\": 1.563615506860735}, {\"ord_4\": \"N\", \"nom_5\": \"66669a44f\", \"total_measure\": 4710862, \"share_within_group\": 1.4461621113129002}, {\"ord_4\": \"M\", \"nom_5\": \"20b10a832\", \"total_measure\": 330902, \"share_within_group\": 1.4108875345663225}, {\"ord_4\": \"M\", \"nom_5\": \"4e28ceffa\", \"total_measure\": 327501, \"share_within_group\": 1.3963864783470792}, {\"ord_4\": \"C\", \"nom_5\": \"6c90f81cd\", \"total_measure\": 7177774, \"share_within_group\": 1.3371224979003693}, {\"ord_4\": \"N\", \"nom_5\": \"30a530eab\", \"total_measure\": 4319174, \"share_within_group\": 1.3259199252637384}, {\"ord_4\": \"M\", \"nom_5\": \"66669a44f\", \"total_measure\": 307595, \"share_within_group\": 1.3115120222752596}, {\"ord_4\": \"M\", \"nom_5\": \"c2843dc45\", \"total_measure\": 298895, \"share_within_group\": 1.2744172886359133}, {\"ord_4\": \"M\", \"nom_5\": \"527ded12a\", \"total_measure\": 292098, \"share_within_group\": 1.2454364950098629}, {\"ord_4\": \"N\", \"nom_5\": \"5a94fc1d9\", \"total_measure\": 4001170, \"share_within_group\": 1.22829759286556}, {\"ord_4\": \"M\", \"nom_5\": \"88707c9ab\", \"total_measure\": 283202, \"share_within_group\": 1.2075060639230095}, {\"ord_4\": \"N\", \"nom_5\": \"4e28ceffa\", \"total_measure\": 3926962, \"share_within_group\": 1.2055168792814415}, {\"ord_4\": \"N\", \"nom_5\": \"b97f51ac4\", \"total_measure\": 3921565, \"share_within_group\": 1.2038600833670725}, {\"ord_4\": \"M\", \"nom_5\": \"a93b89fc9\", \"total_measure\": 277657, \"share_within_group\": 1.1838635009310352}, {\"ord_4\": \"N\", \"nom_5\": \"416a8f3ab\", \"total_measure\": 3851597, \"share_within_group\": 1.182380984509084}, {\"ord_4\": \"N\", \"nom_5\": \"2ff007c26\", \"total_measure\": 3846693, \"share_within_group\": 1.1808755320050883}, {\"ord_4\": \"X\", \"nom_5\": \"5b1a9f841\", \"total_measure\": 10980235, \"share_within_group\": 1.172914089228431}, {\"ord_4\": \"M\", \"nom_5\": \"ca82ad111\", \"total_measure\": 274002, \"share_within_group\": 1.1682794490400223}, {\"ord_4\": \"D\", \"nom_5\": \"6c90f81cd\", \"total_measure\": 7001609, \"share_within_group\": 1.1635584833221457}, {\"ord_4\": \"M\", \"nom_5\": \"0de5598a9\", \"total_measure\": 269851, \"share_within_group\": 1.150580570955318}, {\"ord_4\": \"U\", \"nom_5\": \"50f116bcf\", \"total_measure\": 21968676, \"share_within_group\": 1.1502429431493169}, {\"ord_4\": \"M\", \"nom_5\": \"037bd73d8\", \"total_measure\": 269487, \"share_within_group\": 1.1490285614099478}, {\"ord_4\": \"Z\", \"nom_5\": \"5a466e166\", \"total_measure\": 24399678, \"share_within_group\": 1.1471145009377008}, {\"ord_4\": \"Z\", \"nom_5\": \"f7821e391\", \"total_measure\": 24159352, \"share_within_group\": 1.1358159321798529}, {\"ord_4\": \"C\", \"nom_5\": \"115a252ba\", \"total_measure\": 6081980, \"share_within_group\": 1.1329908534010806}, {\"ord_4\": \"E\", \"nom_5\": \"472efea17\", \"total_measure\": 19278103, \"share_within_group\": 1.1327982579928748}, {\"ord_4\": \"M\", \"nom_5\": \"63f642dd9\", \"total_measure\": 265004, \"share_within_group\": 1.1299141141794662}, {\"ord_4\": \"M\", \"nom_5\": \"116f7e3e2\", \"total_measure\": 264577, \"share_within_group\": 1.1280934875973971}, {\"ord_4\": \"B\", \"nom_5\": \"4845cc770\", \"total_measure\": 10349730, \"share_within_group\": 1.1270881494331275}, {\"ord_4\": \"Y\", \"nom_5\": \"472efea17\", \"total_measure\": 14293605, \"share_within_group\": 1.1270410890623188}, {\"ord_4\": \"M\", \"nom_5\": \"5d18641ff\", \"total_measure\": 264004, \"share_within_group\": 1.125650351692185}, {\"ord_4\": \"T\", \"nom_5\": \"6c90f81cd\", \"total_measure\": 23960690, \"share_within_group\": 1.1210343708971837}, {\"ord_4\": \"O\", \"nom_5\": \"4845cc770\", \"total_measure\": 9647220, \"share_within_group\": 1.114463954709957}, {\"ord_4\": \"G\", \"nom_5\": \"472efea17\", \"total_measure\": 31406841, \"share_within_group\": 1.1128437400625035}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 323.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3eb06d19a8222221b936ec28253e09857f5f5b29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:38:46.184862+00:00", + "ended_at": "2026-05-19T15:39:02.433003+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_119b90b4149dcde9", + "problem_id": "v2p_c14_bad9dff471961df9", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, measure_col=id.", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "item_col": "nom_5", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_119b90b4149dcde9.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_119b90b4149dcde9", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 694, + "total_tokens": 16719, + "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": 15903.89, + "sql_execution_elapsed_ms_total": 323.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/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_d/c14/artifacts/v2q_c14_119b90b4149dcde9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f89501c0c7f980aca03e18bbc67bb7bf86d69614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:02.106408+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15903.89, "started_at": "2026-05-19T15:38:46.201752+00:00", "ended_at": "2026-05-19T15:39:02.105664+00:00", "prompt_metrics": {"chars": 12086, "bytes_utf8": 12086, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 549, "bytes_utf8": 549, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 694, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure,\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_4\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"ord_4\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to NUMERIC because it is stored as TEXT in the SQLite schema but used in SUM().\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a286225174dfb5ece9aa9e3597077f2718ba2162 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_119b90b4149dcde9", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 694, + "total_tokens": 16719, + "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": 15903.89, + "sql_execution_elapsed_ms_total": 323.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/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_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..446fd46149e1f14d7232bccc68a6ff463ee05b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=ord_0. +Result preview: [{"ord_3": "a", "percentile_measure": 3.0}, {"ord_3": "b", "percentile_measure": 3.0}, {"ord_3": "c", "percentile_measure": 3.0}, {"ord_3": "d", "percentile_measure": 3.0}, {"ord_3": "e", "percentile_measure": 3.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a0e4f1f627ca061129a2a7f398826860beec00ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/generated_sql.sql @@ -0,0 +1,65 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c14_11fe2ec9113dbbdb +-- problem_id: v2p_c14_dbeb679bdab84e33 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "ord_3" AS "group_col", + CAST("ord_0" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "ord_3" + ORDER BY CAST("ord_0" AS REAL) + ) AS "rn" + FROM "c14" + WHERE "ord_3" IS NOT NULL + AND "ord_0" IS NOT NULL +), +"params" AS ( + SELECT + "group_col", + COUNT(*) AS "n", + 1.0 + 0.9 * (COUNT(*) - 1) AS "pos", + CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1 + ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + END AS "upper_rn" + FROM "ordered" + GROUP BY "group_col" + HAVING COUNT(*) >= 5 +), +"bounds" AS ( + SELECT + p."group_col", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) AS "lower_val", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure" END) AS "upper_val" + FROM "params" AS p + JOIN "ordered" AS o + ON o."group_col" = p."group_col" + GROUP BY + p."group_col", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "group_col" AS "ord_3", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d079b04e3fab0658d179c5ae553eac88e827c732 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"ord_3\" AS \"group_col\",\n CAST(\"ord_0\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_3\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"rn\"\n FROM \"c14\"\n WHERE \"ord_3\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"group_col\",\n COUNT(*) AS \"n\",\n 1.0 + 0.9 * (COUNT(*) - 1) AS \"pos\",\n CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\n THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\n ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"group_col\"\n HAVING COUNT(*) >= 5\n),\n\"bounds\" AS (\n SELECT\n p.\"group_col\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_val\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS o\n ON o.\"group_col\" = p.\"group_col\"\n GROUP BY\n p.\"group_col\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"group_col\" AS \"ord_3\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"ord_3\\\" AS \\\"group_col\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_3\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n COUNT(*) AS \\\"n\\\",\\n 1.0 + 0.9 * (COUNT(*) - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\\n ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"group_col\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"group_col\\\" = p.\\\"group_col\\\"\\n GROUP BY\\n p.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"ord_3\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"ord_3\", \"percentile_measure\"], \"rows\": [{\"ord_3\": \"a\", \"percentile_measure\": 3.0}, {\"ord_3\": \"b\", \"percentile_measure\": 3.0}, {\"ord_3\": \"c\", \"percentile_measure\": 3.0}, {\"ord_3\": \"d\", \"percentile_measure\": 3.0}, {\"ord_3\": \"e\", \"percentile_measure\": 3.0}, {\"ord_3\": \"f\", \"percentile_measure\": 3.0}, {\"ord_3\": \"g\", \"percentile_measure\": 3.0}, {\"ord_3\": \"h\", \"percentile_measure\": 3.0}, {\"ord_3\": \"i\", \"percentile_measure\": 3.0}, {\"ord_3\": \"j\", \"percentile_measure\": 3.0}, {\"ord_3\": \"k\", \"percentile_measure\": 3.0}, {\"ord_3\": \"l\", \"percentile_measure\": 3.0}, {\"ord_3\": \"m\", \"percentile_measure\": 3.0}, {\"ord_3\": \"n\", \"percentile_measure\": 3.0}, {\"ord_3\": \"o\", \"percentile_measure\": 3.0}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 909.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ecf17180c9f137276c37582809f6d052c2a79e61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:53:34.392939+00:00", + "ended_at": "2026-05-19T15:54:32.302038+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_11fe2ec9113dbbdb", + "problem_id": "v2p_c14_dbeb679bdab84e33", + "dataset_id": "c14", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=ord_0.", + "bindings": { + "group_col": "ord_3", + "measure_col": "ord_0", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_11fe2ec9113dbbdb.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_11fe2ec9113dbbdb", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 14720, + "output_tokens": 4035, + "total_tokens": 19983, + "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": 56980.11, + "sql_execution_elapsed_ms_total": 909.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/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_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96455b9b4a27a3db2b2a99788f18e7a58f44ea6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:31.389847+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 56980.11, "started_at": "2026-05-19T15:53:34.408854+00:00", "ended_at": "2026-05-19T15:54:31.389028+00:00", "prompt_metrics": {"chars": 11859, "bytes_utf8": 11859, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1785, "bytes_utf8": 1785, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15948, "cached_input_tokens": 14720, "output_tokens": 4035, "reasoning_output_tokens": 3401}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"ord_3\\\" AS \\\"group_col\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_3\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n COUNT(*) AS \\\"n\\\",\\n 1.0 + 0.9 * (COUNT(*) - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\\n ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"group_col\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"group_col\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..888095fca80d290c42e71a7ae55807af7b6bb659 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_11fe2ec9113dbbdb", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 14720, + "output_tokens": 4035, + "total_tokens": 19983, + "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": 56980.11, + "sql_execution_elapsed_ms_total": 909.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/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_d/c14/artifacts/v2q_c14_12843844aacf57af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d746f5f3a6d414eadf99ceb234726f28ea4f95da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:09:46.749933+00:00", + "ended_at": "2026-05-19T16:09:54.241287+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_12843844aacf57af", + "problem_id": "v2p_c14_2ee8649d3a28968c", + "dataset_id": "c14", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=month.", + "bindings": { + "group_col": "month", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..763ccf5dc193313d9c14e27bad8794f896324566 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_12843844aacf57af/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:50.037477+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3263.13, "started_at": "2026-05-19T16:09:46.773539+00:00", "ended_at": "2026-05-19T16:09:50.036706+00:00", "prompt_metrics": {"chars": 11684, "bytes_utf8": 11684, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-1d1c-7c23-8e40-9807e897fdac\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:54.240939+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3200.76, "started_at": "2026-05-19T16:09:51.038436+00:00", "ended_at": "2026-05-19T16:09:54.239236+00:00", "prompt_metrics": {"chars": 11684, "bytes_utf8": 11684, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-2dbb-7282-85b0-f144a9bda269\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a478be5f167e3aac81b03b81fd2a47c064f446d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "lines": 396, "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": 581, "bytes_utf8": 581, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16046, "cached_input_tokens": 12032, "output_tokens": 571, "reasoning_output_tokens": 400}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2de4891ec23fba8952226fc0b51788f2e901be99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_13902a2eaa059ea8", + "api_calls": 0, + "input_tokens": 16046, + "cached_input_tokens": 12032, + "output_tokens": 571, + "total_tokens": 16617, + "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": 11927.18, + "sql_execution_elapsed_ms_total": 163.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/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_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..513b06aa978577c8f780038a4f0e19479a9e4286 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/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": "2026-05-19T15:52:12.346273+00:00", + "ended_at": "2026-05-19T15:52:24.273481+00:00", + "elapsed_ms": 11927.18, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 952, + "bytes_utf8": 952, + "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": 581, + "bytes_utf8": 581, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16046, + "cached_input_tokens": 12032, + "output_tokens": 571, + "reasoning_output_tokens": 400 + } + }, + "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_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b9d44a82d45775e76a2578deb43a61851b1d380 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_4, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_4", + "measure_col": "ord_0", + "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": 2.32, + "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_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d36271257c4325dc4f2e6dcbb3872d2ae01b3e1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-066f-7231-a55f-42b109ee7c12"} +{"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 \\\"nom_4\\\", SUM(CAST(\\\"ord_0\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_4\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_4\\\", 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 required template with group_col=\\\"nom_4\\\" and measure_col=\\\"ord_0\\\". CAST is applied because \\\"ord_0\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16046,"cached_input_tokens":12032,"output_tokens":571,"reasoning_output_tokens":400}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3348ba4fbe6a076cc857c1a0c9104c3949fa4d05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_4\", SUM(CAST(\"ord_0\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"nom_4\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_4\", 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 required template with group_col=\"nom_4\" and measure_col=\"ord_0\". CAST is applied because \"ord_0\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_13902a2eaa059ea8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..25df0167343b5afe438523f7e66f376871fc7c82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/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": "2026-05-19T16:07:55.740975+00:00", + "ended_at": "2026-05-19T16:08:00.217866+00:00", + "elapsed_ms": 4476.85, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..92b4147261886328429c87a3bc9d8ef055aca44b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/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": "2026-05-19T16:08:01.220090+00:00", + "ended_at": "2026-05-19T16:08:03.882289+00:00", + "elapsed_ms": 2662.17, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f575091e0cbeaa5d21f99a11510c6d2b249e4b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f575091e0cbeaa5d21f99a11510c6d2b249e4b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..58844711c6873b9d7cc4b2add54d34fe96b0afd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6b72-7b92-b25a-808d0c127953"} +{"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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9accbd44f598d12bb728f7a0afd1fcaea8ac4bf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6b72-7b92-b25a-808d0c127953"} +{"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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4c7447d2672ad02e6dce8dfd0930d9ca4759a91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-80da-7652-b688-989dbdc67356"} +{"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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c8a11b5ecd30a61f69505633704ccd5aa51867b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-80da-7652-b688-989dbdc67356"} +{"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_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_139564d59acf46fe/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ee0e8f145bfee9bb1e62632c3afce5aafa60dfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11861, "bytes_utf8": 11861, "lines": 396, "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": 922, "bytes_utf8": 922, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15940, "cached_input_tokens": 14720, "output_tokens": 1259, "reasoning_output_tokens": 977}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aed0b7bef5bbcfef91203f34ac8a004ca7dcaeb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_14d281320e5b21e9", + "api_calls": 0, + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 1259, + "total_tokens": 17199, + "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": 25632.96, + "sql_execution_elapsed_ms_total": 731.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/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_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..57eb99a8963cbf4c471763605e4d17b84e486762 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/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": "2026-05-19T15:58:21.428525+00:00", + "ended_at": "2026-05-19T15:58:47.061512+00:00", + "elapsed_ms": 25632.96, + "prompt_metrics": { + "chars": 11861, + "bytes_utf8": 11861, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1381, + "bytes_utf8": 1381, + "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": 922, + "bytes_utf8": 922, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 1259, + "reasoning_output_tokens": 977 + } + }, + "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_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..306c516ab3b7719ebbacfd831450b47c3183b3d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=month, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "month", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd81e0cebdd688e88f3e68f02613a0f68d17a077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-a803-7d00-a5e7-25ea4c5550da"} +{"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(\\\"id\\\" AS REAL) AS \\\"id_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"month\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"month\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"month\\\",\\n \\\"id_value\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n AND \\\"rn\\\" = ((9 * \\\"cnt\\\") + 9) / 10\\n)\\nSELECT\\n \\\"month\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"month\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 90th percentile per month via window functions. \\\"id\\\" is stored as TEXT in the schema, so it is cast to REAL before ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15940,"cached_input_tokens":14720,"output_tokens":1259,"reasoning_output_tokens":977}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e5a9e93926d2e769ec12e272d25b05d09968f5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"month\",\n CAST(\"id\" AS REAL) AS \"id_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"month\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"month\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"month\" IS NOT NULL\n AND \"id\" IS NOT NULL\n),\n\"percentile_points\" AS (\n SELECT\n \"month\",\n \"id_value\" AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n AND \"rn\" = ((9 * \"cnt\") + 9) / 10\n)\nSELECT\n \"month\",\n \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC, \"month\";","notes":"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 90th percentile per month via window functions. \"id\" is stored as TEXT in the schema, so it is cast to REAL before ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_14d281320e5b21e9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ad9d4eeb645c4b13c50e6c908e1638dbe5c1ffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11861, "bytes_utf8": 11861, "lines": 396, "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": 11861, "bytes_utf8": 11861, "lines": 396, "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": 1788, "bytes_utf8": 1788, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 12032, "output_tokens": 1149, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..43df6eb2ebeaef55ff0d112555bd09c12c1eba0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_16198038f30f6c74", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 1149, + "total_tokens": 17093, + "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": 24271.67, + "sql_execution_elapsed_ms_total": 1221.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/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_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c88f9bd14013a8620b0389e2ab98a465a88bca93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/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": "2026-05-19T15:53:07.892067+00:00", + "ended_at": "2026-05-19T15:53:10.927705+00:00", + "elapsed_ms": 3035.61, + "returncode": 1, + "prompt_metrics": { + "chars": 11861, + "bytes_utf8": 11861, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6093da54ada51376ae16134ae1ac489df5564de6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/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": "2026-05-19T15:53:11.930473+00:00", + "ended_at": "2026-05-19T15:53:33.166583+00:00", + "elapsed_ms": 21236.06, + "prompt_metrics": { + "chars": 11861, + "bytes_utf8": 11861, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2403, + "bytes_utf8": 2403, + "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": 1788, + "bytes_utf8": 1788, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 1149, + "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_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ba3ac306c0589385e54dbfce9cec7270e35e4bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_2", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ba3ac306c0589385e54dbfce9cec7270e35e4bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "ord_2", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..93073d0d3664c4fb2b96940cc4ed77228ae0c8ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-df5e-7a41-9df2-4dc44132174c"} +{"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_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..034cfe59df1363575c4a1de4e3e5aaeb903af87e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-df5e-7a41-9df2-4dc44132174c"} +{"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_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca64c59451ed60e60790e2fe0e5b8935b5d1c4e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-ef15-71e1-a03f-44564b01ae74"} +{"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 \\\"ord_2\\\",\\n CAST(\\\"id\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_2\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"ord_2\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_2\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"ord_2\\\",\\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 \\\"ranked\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"ord_2\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"ord_2\\\" = p.\\\"ord_2\\\"\\n GROUP BY\\n p.\\\"ord_2\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"ord_2\\\",\\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\":\"Emulated the 0.9 grouped percentile for SQLite with window functions because SQLite does not support PERCENTILE_CONT. Used \\\"ord_2\\\" as the group column and CAST(\\\"id\\\" AS REAL) as the numeric measure.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":12032,"output_tokens":1149,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bed119bfa3f4a821ba59c810ce9c27cd9a884f21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"ord_2\",\n CAST(\"id\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_2\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"ord_2\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"ord_2\" IS NOT NULL\n AND \"id\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"ord_2\",\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 \"ranked\"\n),\n\"picked\" AS (\n SELECT\n p.\"ord_2\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_value\" END) AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS r\n ON r.\"ord_2\" = p.\"ord_2\"\n GROUP BY\n p.\"ord_2\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"ord_2\",\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":"Emulated the 0.9 grouped percentile for SQLite with window functions because SQLite does not support PERCENTILE_CONT. Used \"ord_2\" as the group column and CAST(\"id\" AS REAL) as the numeric measure."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_16198038f30f6c74/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6352e80793543342f21b4d382d6e0dc82fc269a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/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": "2026-05-19T16:06:09.402502+00:00", + "ended_at": "2026-05-19T16:06:12.895840+00:00", + "elapsed_ms": 3493.31, + "returncode": 1, + "prompt_metrics": { + "chars": 11934, + "bytes_utf8": 11934, + "lines": 399, + "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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b92d258f039a2ec9c9b0bafdfbf708bb8c1255e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/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": "2026-05-19T16:06:13.897639+00:00", + "ended_at": "2026-05-19T16:06:17.102622+00:00", + "elapsed_ms": 3204.94, + "returncode": 1, + "prompt_metrics": { + "chars": 11934, + "bytes_utf8": 11934, + "lines": 399, + "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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7caff2a60d5966de4f52d3a8e27f500bc49eda4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "2", + "positive_value": "1", + "negative_value": "2", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7caff2a60d5966de4f52d3a8e27f500bc49eda4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "2", + "positive_value": "1", + "negative_value": "2", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87bb2fd1613055ac4bdc2087173beafe88fbab6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-cc12-7973-8723-9c141298aac3"} +{"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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d02eaba6cbd823384cfd846e8423b7834faf28a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-cc12-7973-8723-9c141298aac3"} +{"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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..78d40d6b7efec32bcd1c1330e2ba4ee09b0bf54f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-dd8a-77b0-833f-194e0723af74"} +{"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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ef5bf545762a730cdfe071db8332e7ac00ccea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-dd8a-77b0-833f-194e0723af74"} +{"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_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_169d7deff2a5c26c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..991807c7ee0981411c07ef0e3f8a2ca24fa4bcf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/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": "2026-05-19T16:09:17.813856+00:00", + "ended_at": "2026-05-19T16:09:20.560393+00:00", + "elapsed_ms": 2746.5, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..95edbab0ccfd27fd3e7c66bb53ff0653de478bbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/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": "2026-05-19T16:09:21.562575+00:00", + "ended_at": "2026-05-19T16:09:24.425668+00:00", + "elapsed_ms": 2863.06, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..01e5d999d568fa7599c09bca31744e595cf913c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=ord_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_4", + "top_k": 17, + "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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..01e5d999d568fa7599c09bca31744e595cf913c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=ord_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_4", + "top_k": 17, + "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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9592912f41a01c4761521a5f4517f1606879a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-abf1-7f93-8f7b-18abc555c747"} +{"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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77613c6a4748c41bc72be5c799d43cdf2297dbb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-abf1-7f93-8f7b-18abc555c747"} +{"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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..77694454d3f32637c0638f4f769e4d940bd5b819 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-ba88-7bc3-9d19-35ad8251a3ed"} +{"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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ff880ee3e0e115b2eb41362d8d4327226e2bd84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-ba88-7bc3-9d19-35ad8251a3ed"} +{"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_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_177fd361cdb900c0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b942c21811ca4ee00e29a7f1fa1a2aa724ea2131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_1, measure_col=id. +Result preview: [{"nom_1": "Polygon", "nom_5": "4845cc770", "total_measure": 53826769, "share_within_group": 0.9999807950548416}, {"nom_1": "Square", "nom_5": "472efea17", "total_measure": 74525138, "share_within_group": 0.9955780797157527}, {"nom_1": "Circle", "nom_5": "46cab09da", "total_measure": 55853902, "share_within_group": 0.9955766638728472}, {"nom_1": "Triangle", "nom_5": "de04b8750", "total_measure": 44187420, "share_within_group": 0.989958150137106}, {"nom_1": "Triangle", "nom_5": "778fdbe56", "total_measure": 44098521, "share_within_group": 0.9879664907555662}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7d6e943d256a2fe3dd8fc4a76beb03762702618 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_18668e35a84095b4 +-- problem_id: v2p_c14_edcb1ffe57315c4d +-- realization_mode: agent +-- source_kind: agent +SELECT + "agg"."nom_1", + "agg"."nom_5", + "agg"."total_measure", + "agg"."total_measure" * 100.0 / SUM("agg"."total_measure") OVER (PARTITION BY "agg"."nom_1") AS "share_within_group" +FROM ( + SELECT + "nom_1", + "nom_5", + SUM(CAST("id" AS INTEGER)) AS "total_measure" + FROM "c14" + GROUP BY "nom_1", "nom_5" +) AS "agg" +ORDER BY "share_within_group" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbe267ca070724e60cac3df51e02aa53f0ecf2e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"agg\".\"nom_1\",\n \"agg\".\"nom_5\",\n \"agg\".\"total_measure\",\n \"agg\".\"total_measure\" * 100.0 / SUM(\"agg\".\"total_measure\") OVER (PARTITION BY \"agg\".\"nom_1\") AS \"share_within_group\"\nFROM (\n SELECT\n \"nom_1\",\n \"nom_5\",\n SUM(CAST(\"id\" AS INTEGER)) AS \"total_measure\"\n FROM \"c14\"\n GROUP BY \"nom_1\", \"nom_5\"\n) AS \"agg\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"agg\\\".\\\"nom_1\\\",\\n \\\"agg\\\".\\\"nom_5\\\",\\n \\\"agg\\\".\\\"total_measure\\\",\\n \\\"agg\\\".\\\"total_measure\\\" * 100.0 / SUM(\\\"agg\\\".\\\"total_measure\\\") OVER (PARTITION BY \\\"agg\\\".\\\"nom_1\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"nom_1\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS INTEGER)) AS \\\"total_measure\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\", \\\"nom_5\\\"\\n) AS \\\"agg\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\", \"columns\": [\"nom_1\", \"nom_5\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"nom_1\": \"Polygon\", \"nom_5\": \"4845cc770\", \"total_measure\": 53826769, \"share_within_group\": 0.9999807950548416}, {\"nom_1\": \"Square\", \"nom_5\": \"472efea17\", \"total_measure\": 74525138, \"share_within_group\": 0.9955780797157527}, {\"nom_1\": \"Circle\", \"nom_5\": \"46cab09da\", \"total_measure\": 55853902, \"share_within_group\": 0.9955766638728472}, {\"nom_1\": \"Triangle\", \"nom_5\": \"de04b8750\", \"total_measure\": 44187420, \"share_within_group\": 0.989958150137106}, {\"nom_1\": \"Triangle\", \"nom_5\": \"778fdbe56\", \"total_measure\": 44098521, \"share_within_group\": 0.9879664907555662}, {\"nom_1\": \"Circle\", \"nom_5\": \"2ff007c26\", \"total_measure\": 55040267, \"share_within_group\": 0.9810738988035386}, {\"nom_1\": \"Trapezoid\", \"nom_5\": \"475e79160\", \"total_measure\": 148769625, \"share_within_group\": 0.9809212061449738}, {\"nom_1\": \"Triangle\", \"nom_5\": \"6c90f81cd\", \"total_measure\": 43548591, \"share_within_group\": 0.9756460682121161}, {\"nom_1\": \"Triangle\", \"nom_5\": \"eb69430d6\", \"total_measure\": 43436303, \"share_within_group\": 0.9731304105710364}, {\"nom_1\": \"Square\", \"nom_5\": \"06eeaf0aa\", \"total_measure\": 72788999, \"share_within_group\": 0.9723850742665092}, {\"nom_1\": \"Circle\", \"nom_5\": \"20b10a832\", \"total_measure\": 54020844, \"share_within_group\": 0.9629030331509428}, {\"nom_1\": \"Triangle\", \"nom_5\": \"9ad6558d1\", \"total_measure\": 42849136, \"share_within_group\": 0.9599757444434021}, {\"nom_1\": \"Polygon\", \"nom_5\": \"06eeaf0aa\", \"total_measure\": 51622336, \"share_within_group\": 0.9590273678858223}, {\"nom_1\": \"Polygon\", \"nom_5\": \"f7821e391\", \"total_measure\": 51503513, \"share_within_group\": 0.9568199027115555}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 315.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cba1cb3b5660ec0c40cf91af36ed2a78771700db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:33:45.036436+00:00", + "ended_at": "2026-05-19T15:34:36.314335+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_18668e35a84095b4", + "problem_id": "v2p_c14_edcb1ffe57315c4d", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_1, measure_col=id.", + "bindings": { + "group_col": "nom_1", + "measure_col": "id", + "item_col": "nom_5", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_18668e35a84095b4.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_18668e35a84095b4", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 2380, + "total_tokens": 18406, + "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": 50944.4, + "sql_execution_elapsed_ms_total": 315.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/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_d/c14/artifacts/v2q_c14_18668e35a84095b4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fdf03115847524dc3d54f6a249597685f72a9b54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:35.997060+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 50944.4, "started_at": "2026-05-19T15:33:45.051664+00:00", "ended_at": "2026-05-19T15:34:35.996106+00:00", "prompt_metrics": {"chars": 12088, "bytes_utf8": 12088, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 739, "bytes_utf8": 739, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 2380, "reasoning_output_tokens": 2144}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"agg\\\".\\\"nom_1\\\",\\n \\\"agg\\\".\\\"nom_5\\\",\\n \\\"agg\\\".\\\"total_measure\\\",\\n \\\"agg\\\".\\\"total_measure\\\" * 100.0 / SUM(\\\"agg\\\".\\\"total_measure\\\") OVER (PARTITION BY \\\"agg\\\".\\\"nom_1\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"nom_1\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS INTEGER)) AS \\\"total_measure\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\", \\\"nom_5\\\"\\n) AS \\\"agg\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Applied the planned template with group_col=\\\"nom_1\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". \\\"id\\\" is stored as TEXT in SQLite, so it is cast to INTEGER before aggregation; results are limited to the top 14 rows by within-group share.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1ebff86c188e92e8765f1cc3e83439b851dd9de6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_18668e35a84095b4", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 2380, + "total_tokens": 18406, + "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": 50944.4, + "sql_execution_elapsed_ms_total": 315.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_18668e35a84095b4/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_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1efbd964f9862a542571714f0c30bcb2d2bac4d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11860, "bytes_utf8": 11860, "lines": 396, "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": 1848, "bytes_utf8": 1848, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15940, "cached_input_tokens": 14720, "output_tokens": 3406, "reasoning_output_tokens": 2778}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15287c9af44eb0f2047a0baac847f84a17785a3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_198a28a5e3ca7379", + "api_calls": 0, + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 3406, + "total_tokens": 19346, + "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": 47771.7, + "sql_execution_elapsed_ms_total": 1205.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/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_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f07790aba8279ea80c65b380b648c1dd209c15f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/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": "2026-05-19T15:57:32.430528+00:00", + "ended_at": "2026-05-19T15:58:20.202264+00:00", + "elapsed_ms": 47771.7, + "prompt_metrics": { + "chars": 11860, + "bytes_utf8": 11860, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2483, + "bytes_utf8": 2483, + "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": 1848, + "bytes_utf8": 1848, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 3406, + "reasoning_output_tokens": 2778 + } + }, + "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_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32f8df3dae800aad158ad57f0bd80233840533e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=month, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "month", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4830737d4487a00adbb6d98348ea9516ae0ef835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-e89f-7be2-9d23-7d43563387a2"} +{"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(\\\"id\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"month\\\"\\n ORDER BY CAST(\\\"id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"month\\\") AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"month\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n 1.0 + (MAX(\\\"cnt\\\") - 1) * 0.95 AS \\\"pos\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.95 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.95 AS INTEGER) +\\n CASE\\n WHEN 1.0 + (MAX(\\\"cnt\\\") - 1) * 0.95 > CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.95 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n GROUP BY \\\"month\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"month\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"month\\\" = p.\\\"month\\\"\\n GROUP BY\\n p.\\\"month\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"month\\\",\\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 \\\"bounds\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible emulation of PERCENTILE_CONT(0.95) by month using window functions and linear interpolation. \\\"id\\\" is cast from TEXT to REAL before ordering, and groups smaller than 5 rows are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15940,"cached_input_tokens":14720,"output_tokens":3406,"reasoning_output_tokens":2778}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cce41a4a31305cb98559253d4b444cc6c7e1bbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"month\",\n CAST(\"id\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"month\"\n ORDER BY CAST(\"id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"month\") AS \"cnt\"\n FROM \"c14\"\n WHERE \"month\" IS NOT NULL\n AND \"id\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"month\",\n MAX(\"cnt\") AS \"cnt\",\n 1.0 + (MAX(\"cnt\") - 1) * 0.95 AS \"pos\",\n CAST(1.0 + (MAX(\"cnt\") - 1) * 0.95 AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + (MAX(\"cnt\") - 1) * 0.95 AS INTEGER) +\n CASE\n WHEN 1.0 + (MAX(\"cnt\") - 1) * 0.95 > CAST(1.0 + (MAX(\"cnt\") - 1) * 0.95 AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ranked\"\n GROUP BY \"month\"\n),\n\"bounds\" AS (\n SELECT\n p.\"month\",\n p.\"cnt\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_value\" END) AS \"upper_value\"\n FROM \"params\" AS p\n JOIN \"ranked\" AS r\n ON r.\"month\" = p.\"month\"\n GROUP BY\n p.\"month\",\n p.\"cnt\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"month\",\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 \"bounds\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible emulation of PERCENTILE_CONT(0.95) by month using window functions and linear interpolation. \"id\" is cast from TEXT to REAL before ordering, and groups smaller than 5 rows are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_198a28a5e3ca7379/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1815e416a314b7aafed969c66bdf19cfb9ba24f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11987, "bytes_utf8": 11987, "lines": 400, "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": 454, "bytes_utf8": 454, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16003, "cached_input_tokens": 14720, "output_tokens": 367, "reasoning_output_tokens": 230}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e869f72b315bc33ff481158044d5c9753a4d32ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_19aee83514ef61fd", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 14720, + "output_tokens": 367, + "total_tokens": 16370, + "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": 14507.23, + "sql_execution_elapsed_ms_total": 56.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/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_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1589e477105415cae57ea46de8e5d9065a07cc2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/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": "2026-05-19T15:43:55.094062+00:00", + "ended_at": "2026-05-19T15:44:09.601325+00:00", + "elapsed_ms": 14507.23, + "prompt_metrics": { + "chars": 11987, + "bytes_utf8": 11987, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 829, + "bytes_utf8": 829, + "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": 454, + "bytes_utf8": 454, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16003, + "cached_input_tokens": 14720, + "output_tokens": 367, + "reasoning_output_tokens": 230 + } + }, + "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_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..308f8fd90a34bdeb1341219c4299944c3a7414ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_2.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_2", + "predicate_col": "bin_0", + "predicate_op": "=", + "predicate_value": "1", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f7814fef98d095dcd946a98f9d17f21dc907709 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-6fe4-73c0-9836-0cd3eca1f219"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"nom_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_0\\\" = '1'\\nGROUP BY \\\"bin_3\\\", \\\"nom_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"nom_2\\\", and predicate \\\"bin_0\\\" = '1'. The predicate value is quoted as a string because the schema snapshot shows TEXT columns.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16003,"cached_input_tokens":14720,"output_tokens":367,"reasoning_output_tokens":230}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3fb8afd4ae4b1698743e532bf48b1b7f5498cb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_2\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nWHERE \"bin_0\" = '1'\nGROUP BY \"bin_3\", \"nom_2\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided filtered two-dimensional group count template with group_col=\"bin_3\", group_col_2=\"nom_2\", and predicate \"bin_0\" = '1'. The predicate value is quoted 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_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_19aee83514ef61fd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f56286436223b1a607ff453733f69ae8866b9cba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"nom_5": "f7821e391", "support": 2801, "avg_response": 3.038200642627633}, {"nom_5": "06eeaf0aa", "support": 2750, "avg_response": 2.9632727272727273}, {"nom_5": "472efea17", "support": 2729, "avg_response": 3.005130084279956}, {"nom_5": "20b10a832", "support": 2725, "avg_response": 3.01651376146789}, {"nom_5": "b97f51ac4", "support": 2717, "avg_response": 3.014354066985646}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d7b0a3a037cdcbf812e493915c0593515bbabb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c14_1abe7555001d98f1 +-- problem_id: v2p_c14_adb223596a0ba09a +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "nom_5", + COUNT(*) AS support, + AVG("day") AS avg_response +FROM "c14" +GROUP BY "nom_5" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..230e03d967f864123a61a43b0de8766cb04c03b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c14_1abe7555001d98f1\n-- problem_id: v2p_c14_adb223596a0ba09a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"nom_5\",\n COUNT(*) AS support,\n AVG(\"day\") AS avg_response\nFROM \"c14\"\nGROUP BY \"nom_5\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c14_1abe7555001d98f1\\n-- problem_id: v2p_c14_adb223596a0ba09a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"nom_5\\\",\\n COUNT(*) AS support,\\n AVG(\\\"day\\\") AS avg_response\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_5\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"nom_5\", \"support\", \"avg_response\"], \"rows\": [{\"nom_5\": \"f7821e391\", \"support\": 2801, \"avg_response\": 3.038200642627633}, {\"nom_5\": \"06eeaf0aa\", \"support\": 2750, \"avg_response\": 2.9632727272727273}, {\"nom_5\": \"472efea17\", \"support\": 2729, \"avg_response\": 3.005130084279956}, {\"nom_5\": \"20b10a832\", \"support\": 2725, \"avg_response\": 3.01651376146789}, {\"nom_5\": \"b97f51ac4\", \"support\": 2717, \"avg_response\": 3.014354066985646}, {\"nom_5\": \"475e79160\", \"support\": 2714, \"avg_response\": 2.987472365512159}, {\"nom_5\": \"778fdbe56\", \"support\": 2692, \"avg_response\": 2.9375928677563152}, {\"nom_5\": \"416a8f3ab\", \"support\": 2683, \"avg_response\": 3.1334327245620575}, {\"nom_5\": \"6c90f81cd\", \"support\": 2674, \"avg_response\": 2.9345549738219896}, {\"nom_5\": \"5a466e166\", \"support\": 2673, \"avg_response\": 3.028058361391695}, {\"nom_5\": \"640e1fdd5\", \"support\": 2670, \"avg_response\": 2.9715355805243444}, {\"nom_5\": \"72f8028dc\", \"support\": 2663, \"avg_response\": 3.0093879083740145}, {\"nom_5\": \"e9f44a509\", \"support\": 2653, \"avg_response\": 2.9939690915944213}, {\"nom_5\": \"4845cc770\", \"support\": 2650, \"avg_response\": 2.9856603773584904}, {\"nom_5\": \"4e28ceffa\", \"support\": 2643, \"avg_response\": 2.9712447975785095}, {\"nom_5\": \"46cab09da\", \"support\": 2639, \"avg_response\": 3.031451307313376}, {\"nom_5\": \"83b38aa6b\", \"support\": 2630, \"avg_response\": 2.981749049429658}, {\"nom_5\": \"2ff007c26\", \"support\": 2630, \"avg_response\": 2.9608365019011407}, {\"nom_5\": \"de04b8750\", \"support\": 2613, \"avg_response\": 2.9969383849980864}, {\"nom_5\": \"eb69430d6\", \"support\": 2603, \"avg_response\": 3.0169035728006146}, {\"nom_5\": \"5a94fc1d9\", \"support\": 2597, \"avg_response\": 3.000385059684251}, {\"nom_5\": \"50f116bcf\", \"support\": 2594, \"avg_response\": 2.9672320740169624}, {\"nom_5\": \"908a1b9c9\", \"support\": 2579, \"avg_response\": 3.0093059325319893}, {\"nom_5\": \"bd40c81f3\", \"support\": 2577, \"avg_response\": 3.008537058595266}, {\"nom_5\": \"66669a44f\", \"support\": 2554, \"avg_response\": 2.96319498825372}, {\"nom_5\": \"9ad6558d1\", \"support\": 2545, \"avg_response\": 2.9905697445972494}, {\"nom_5\": \"0b3bec656\", \"support\": 2535, \"avg_response\": 3.0386587771203155}, {\"nom_5\": \"3263bdce5\", \"support\": 2524, \"avg_response\": 2.972662440570523}, {\"nom_5\": \"30a15b6bd\", \"support\": 2477, \"avg_response\": 3.0262414210738795}, {\"nom_5\": \"3685a0904\", \"support\": 2457, \"avg_response\": 2.9552299552299552}, {\"nom_5\": \"e70a6270d\", \"support\": 2449, \"avg_response\": 2.9657002858309514}, {\"nom_5\": \"91bde92fa\", \"support\": 2433, \"avg_response\": 2.9728729963008633}, {\"nom_5\": \"115a252ba\", \"support\": 2399, \"avg_response\": 3.0529387244685284}, {\"nom_5\": \"df51b96fc\", \"support\": 2391, \"avg_response\": 3.0020911752404853}, {\"nom_5\": \"5b1a9f841\", \"support\": 2389, \"avg_response\": 2.960652992884052}, {\"nom_5\": \"8dcf8adfb\", \"support\": 2387, \"avg_response\": 3.04817762882279}, {\"nom_5\": \"0dee9b39a\", \"support\": 2349, \"avg_response\": 3.071945508727118}, {\"nom_5\": \"6cd0619e0\", \"support\": 2346, \"avg_response\": 3.0336743393009376}, {\"nom_5\": \"2979f0d45\", \"support\": 2344, \"avg_response\": 2.9790955631399316}, {\"nom_5\": \"30a530eab\", \"support\": 2325, \"avg_response\": 2.9479569892473116}, {\"nom_5\": \"2cadfed8e\", \"support\": 2289, \"avg_response\": 2.9301004805591964}, {\"nom_5\": \"f50eb07ae\", \"support\": 2278, \"avg_response\": 2.957857769973661}, {\"nom_5\": \"b0faff28f\", \"support\": 2262, \"avg_response\": 3.076923076923077}, {\"nom_5\": \"be4578201\", \"support\": 2230, \"avg_response\": 3.0035874439461883}, {\"nom_5\": \"a3f640358\", \"support\": 2229, \"avg_response\": 3.018393898609242}, {\"nom_5\": \"60a44c8f4\", \"support\": 2223, \"avg_response\": 2.885290148448043}, {\"nom_5\": \"e7d9ca356\", \"support\": 2214, \"avg_response\": 3.0573622402890694}, {\"nom_5\": \"159a7306f\", \"support\": 2168, \"avg_response\": 3.0092250922509227}, {\"nom_5\": \"0de4acd31\", \"support\": 2139, \"avg_response\": 2.941561477325853}, {\"nom_5\": \"5d18641ff\", \"support\": 2121, \"avg_response\": 3.104196133899104}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 223.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e6e220bd27b17e9c6282e59a6415342e14bab029 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:57.445876+00:00", + "ended_at": "2026-05-19T16:12:57.671214+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_1abe7555001d98f1", + "problem_id": "v2p_c14_adb223596a0ba09a", + "dataset_id": "c14", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=nom_5.", + "bindings": { + "key_col": "nom_5", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_1abe7555001d98f1.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1abe7555001d98f1/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b12ad18211899114c914447d8e94695c235aed01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12232, "bytes_utf8": 12232, "lines": 396, "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": 576, "bytes_utf8": 576, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16042, "cached_input_tokens": 14720, "output_tokens": 665, "reasoning_output_tokens": 501}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8edf11efde5c55122db450873dd30abe65fffa32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_1ae92b5e937ee503", + "api_calls": 0, + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 665, + "total_tokens": 16707, + "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": 14354.68, + "sql_execution_elapsed_ms_total": 138.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/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_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c4de8ace72c2c6336c51310f347874c90875157 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/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": "2026-05-19T15:48:36.952647+00:00", + "ended_at": "2026-05-19T15:48:51.307349+00:00", + "elapsed_ms": 14354.68, + "prompt_metrics": { + "chars": 12232, + "bytes_utf8": 12232, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 947, + "bytes_utf8": 947, + "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": 576, + "bytes_utf8": 576, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 665, + "reasoning_output_tokens": 501 + } + }, + "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_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0e6d4f79cf2eb031a97b91995a89a6c9b1fde9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_2, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_2", + "measure_col": "day", + "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": 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}, 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_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e31ddf79e5fbb32343ed82a9ed8bacabaaec152d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-bd07-7f42-be54-59b3d3f5379e"} +{"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 \\\"bin_2\\\", SUM(CAST(\\\"day\\\" AS INTEGER)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_2\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_2\\\", 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 template with group_col=\\\"bin_2\\\" and measure_col=\\\"day\\\"; cast \\\"day\\\" to INTEGER because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16042,"cached_input_tokens":14720,"output_tokens":665,"reasoning_output_tokens":501}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffafa0af1072482c471280acdbaa610c8669ffd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_2\", SUM(CAST(\"day\" AS INTEGER)) AS group_value\n FROM \"c14\"\n GROUP BY \"bin_2\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_2\", 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 template with group_col=\"bin_2\" and measure_col=\"day\"; cast \"day\" to INTEGER 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_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ae92b5e937ee503/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..beb5ae5e7d6f7746a381930d3f5770a00d29239c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"ord_4": "L", "support": 19066, "avg_response": 150722.69406272945}, {"ord_4": "G", "support": 18899, "avg_response": 149331.43679559766}, {"ord_4": "S", "support": 18875, "avg_response": 150413.19682119205}, {"ord_4": "A", "support": 18258, "avg_response": 149490.49496111294}, {"ord_4": "R", "support": 16927, "avg_response": 150205.29727654043}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aef8c3b26a8c18692dc4aec98420dd770eecdbca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c14_1ce3d2c0381b09ee +-- problem_id: v2p_c14_080359520a6937cd +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ord_4", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "c14" +GROUP BY "ord_4" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..428c60f8f14e610acdb20f1366da82e245df499b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c14_1ce3d2c0381b09ee\n-- problem_id: v2p_c14_080359520a6937cd\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ord_4\",\n COUNT(*) AS support,\n AVG(\"id\") AS avg_response\nFROM \"c14\"\nGROUP BY \"ord_4\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c14_1ce3d2c0381b09ee\\n-- problem_id: v2p_c14_080359520a6937cd\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ord_4\\\",\\n COUNT(*) AS support,\\n AVG(\\\"id\\\") AS avg_response\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"ord_4\", \"support\", \"avg_response\"], \"rows\": [{\"ord_4\": \"L\", \"support\": 19066, \"avg_response\": 150722.69406272945}, {\"ord_4\": \"G\", \"support\": 18899, \"avg_response\": 149331.43679559766}, {\"ord_4\": \"S\", \"support\": 18875, \"avg_response\": 150413.19682119205}, {\"ord_4\": \"A\", \"support\": 18258, \"avg_response\": 149490.49496111294}, {\"ord_4\": \"R\", \"support\": 16927, \"avg_response\": 150205.29727654043}, {\"ord_4\": \"Q\", \"support\": 15925, \"avg_response\": 150975.2736577708}, {\"ord_4\": \"K\", \"support\": 14698, \"avg_response\": 150819.55361273643}, {\"ord_4\": \"I\", \"support\": 14644, \"avg_response\": 149114.45226714012}, {\"ord_4\": \"Z\", \"support\": 14232, \"avg_response\": 149455.3239179314}, {\"ord_4\": \"T\", \"support\": 14220, \"avg_response\": 150307.54992967652}, {\"ord_4\": \"V\", \"support\": 14143, \"avg_response\": 149575.98345471258}, {\"ord_4\": \"J\", \"support\": 12878, \"avg_response\": 150632.60762540766}, {\"ord_4\": \"P\", \"support\": 12839, \"avg_response\": 150354.8224939637}, {\"ord_4\": \"U\", \"support\": 12775, \"avg_response\": 149504.20140900195}, {\"ord_4\": \"H\", \"support\": 12743, \"avg_response\": 150953.78364592325}, {\"ord_4\": \"F\", \"support\": 11717, \"avg_response\": 149609.51199112402}, {\"ord_4\": \"E\", \"support\": 11303, \"avg_response\": 150562.90869680615}, {\"ord_4\": \"W\", \"support\": 9197, \"avg_response\": 149379.03946939218}, {\"ord_4\": \"Y\", \"support\": 8490, \"avg_response\": 149380.64711425206}, {\"ord_4\": \"X\", \"support\": 6292, \"avg_response\": 148784.16703750796}, {\"ord_4\": \"B\", \"support\": 6169, \"avg_response\": 148852.579996758}, {\"ord_4\": \"O\", \"support\": 5836, \"avg_response\": 148327.22532556547}, {\"ord_4\": \"D\", \"support\": 3974, \"avg_response\": 151419.48842476096}, {\"ord_4\": \"C\", \"support\": 3575, \"avg_response\": 150155.94713286712}, {\"ord_4\": \"N\", \"support\": 2166, \"avg_response\": 150392.07479224377}, {\"ord_4\": \"M\", \"support\": 159, \"avg_response\": 147506.06289308175}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 207.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0802aee86d87604693dd45d77a788edf412e3b70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:59.043611+00:00", + "ended_at": "2026-05-19T16:12:59.252702+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_1ce3d2c0381b09ee", + "problem_id": "v2p_c14_080359520a6937cd", + "dataset_id": "c14", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=id, key_col=ord_4.", + "bindings": { + "key_col": "ord_4", + "measure_col": "id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_1ce3d2c0381b09ee.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1ce3d2c0381b09ee/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db8747236794298195d2fbcfd3babfac33782da2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/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": "2026-05-19T16:07:30.258297+00:00", + "ended_at": "2026-05-19T16:07:33.130967+00:00", + "elapsed_ms": 2872.64, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..81ed6535cff26bef4ff14b94f0cffb4ef88841f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/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": "2026-05-19T16:07:34.133754+00:00", + "ended_at": "2026-05-19T16:07:36.923571+00:00", + "elapsed_ms": 2789.78, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac5320f3808ce9130a29775dd8939ebe50786fef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ord_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": 2.5, + "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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac5320f3808ce9130a29775dd8939ebe50786fef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ord_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": 2.5, + "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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..020ae50d0b07aa272d2a690d80caa3c89194f2ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-07d1-72a1-a149-7d2ead4db3a3"} +{"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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dda867575f5b9509ef5e8022f6a278181531380d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-07d1-72a1-a149-7d2ead4db3a3"} +{"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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c84fc492b2c2886970bef067c95c0d64293d693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-171e-7672-a690-14e29146f994"} +{"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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66470956ae9cdcee964b8a9d52bdbbb5ed7fe903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-171e-7672-a690-14e29146f994"} +{"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_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1dee66c24b0e26ee/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..53d457d2166325223b6c342ead5290a77a7585a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:07:36.925422+00:00", + "ended_at": "2026-05-19T16:07:44.118420+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_1fea094e85473532", + "problem_id": "v2p_c14_112363f3b39e9cb1", + "dataset_id": "c14", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=day.", + "bindings": { + "measure_col": "day", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=110" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..917e37155b8d97420b448b288119824aca60e07e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1fea094e85473532/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:39.690460+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2742.59, "started_at": "2026-05-19T16:07:36.947040+00:00", "ended_at": "2026-05-19T16:07:39.689673+00:00", "prompt_metrics": {"chars": 11621, "bytes_utf8": 11621, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-21fd-76d0-84c6-99ae3a9e3cd8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:44.118332+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3426.16, "started_at": "2026-05-19T16:07:40.691390+00:00", "ended_at": "2026-05-19T16:07:44.117582+00:00", "prompt_metrics": {"chars": 11621, "bytes_utf8": 11621, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-30b4-7511-811a-f6a9be9d6af2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e70064ebc7540d962d86359362f17c89b971a93a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12092, "bytes_utf8": 12092, "lines": 398, "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": 540, "bytes_utf8": 540, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16030, "cached_input_tokens": 14720, "output_tokens": 493, "reasoning_output_tokens": 311}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b2cb2498f27364bbd4a076c50f068b0bbb5eb5e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_21b00ecf14eea79c", + "api_calls": 0, + "input_tokens": 16030, + "cached_input_tokens": 14720, + "output_tokens": 493, + "total_tokens": 16523, + "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": 11655.53, + "sql_execution_elapsed_ms_total": 323.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/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_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2145fc86416ce8f6a93a2df1afdf15b6529cb95e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/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": "2026-05-19T15:35:13.099267+00:00", + "ended_at": "2026-05-19T15:35:24.754824+00:00", + "elapsed_ms": 11655.53, + "prompt_metrics": { + "chars": 12092, + "bytes_utf8": 12092, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 927, + "bytes_utf8": 927, + "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": 540, + "bytes_utf8": 540, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16030, + "cached_input_tokens": 14720, + "output_tokens": 493, + "reasoning_output_tokens": 311 + } + }, + "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_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4416836e02722bb80daf6f78e0ce2f9845fb608 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_2, measure_col=ord_0.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_2", + "measure_col": "ord_0", + "item_col": "nom_6", + "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": 2.32, + "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_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6eca14b589ef25ddb12225297f0d30bfc2349c0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-78ea-7a02-8ca6-3afe39dca3de"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"nom_2\\\",\\n \\\"nom_6\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"nom_2\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC\\nLIMIT 15;\",\"notes\":\"Applied the requested template with group_col=\\\"nom_2\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16030,"cached_input_tokens":14720,"output_tokens":493,"reasoning_output_tokens":311}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de73ee79d7230b29555c238348104bf701c17069 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"nom_2\",\n \"nom_6\",\n SUM(CAST(\"ord_0\" AS REAL)) AS total_measure,\n SUM(CAST(\"ord_0\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS REAL))) OVER (PARTITION BY \"nom_2\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"nom_2\", \"nom_6\"\nORDER BY share_within_group DESC\nLIMIT 15;","notes":"Applied the requested template with group_col=\"nom_2\", item_col=\"nom_6\", and measure_col=\"ord_0\". Cast \"ord_0\" 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_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_21b00ecf14eea79c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e0f800eabde28956b7e5959cf7e966bb83326c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "T", "support": 153535, "support_share": 0.5117833333333334, "support_rank": 1}, {"value_label": "F", "support": 146465, "support_share": 0.4882166666666667, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f757e837a68b141f8eccabe09adac4a99f383938 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c14_23593d9be953b264 +-- problem_id: v2p_c14_c39adac8744a2aff +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "bin_3" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "bin_3" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11d1aec385bf69bdf0c4d0a11400ea0d84b94a12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_23593d9be953b264\n-- problem_id: v2p_c14_c39adac8744a2aff\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"bin_3\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"bin_3\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_23593d9be953b264\\n-- problem_id: v2p_c14_c39adac8744a2aff\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"bin_3\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_3\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"T\", \"support\": 153535, \"support_share\": 0.5117833333333334, \"support_rank\": 1}, {\"value_label\": \"F\", \"support\": 146465, \"support_share\": 0.4882166666666667, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 126.7}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7bbcdbb47f994d734673caf356ae78ac89b719a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:55.559364+00:00", + "ended_at": "2026-05-19T16:12:55.687510+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_23593d9be953b264", + "problem_id": "v2p_c14_c39adac8744a2aff", + "dataset_id": "c14", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=bin_3.", + "bindings": { + "group_col": "bin_3" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_23593d9be953b264.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23593d9be953b264/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a5a209893c3138dfa779fc43888ddc7dcd96f6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=id. +Result preview: [{"nom_3": "Russia", "total_measure": 15163069271}, {"nom_3": "Canada", "total_measure": 7491046383}, {"nom_3": "China", "total_measure": 6908225661}, {"nom_3": "Finland", "total_measure": 5544804166}, {"nom_3": "Costa Rica", "total_measure": 5390783363}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b09173e7659f379f9ead9a9597c5a25d66662667 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_23e4abd05b78aa2b +-- problem_id: v2p_c14_5d2c57859c7d1361 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_3", SUM(CAST("id" AS INTEGER)) AS "total_measure" +FROM "c14" +GROUP BY "nom_3" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..959cd5bbac9f77de58c2f666119a10c18f01f741 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum.\nSELECT \"nom_3\", SUM(CAST(\"id\" AS INTEGER)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"nom_3\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"nom_3\", \"total_measure\"], \"rows\": [{\"nom_3\": \"Russia\", \"total_measure\": 15163069271}, {\"nom_3\": \"Canada\", \"total_measure\": 7491046383}, {\"nom_3\": \"China\", \"total_measure\": 6908225661}, {\"nom_3\": \"Finland\", \"total_measure\": 5544804166}, {\"nom_3\": \"Costa Rica\", \"total_measure\": 5390783363}, {\"nom_3\": \"India\", \"total_measure\": 4501921156}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 165.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c89acdd6068d3759ef2bbd366c4f3784b8972e58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:31:36.888218+00:00", + "ended_at": "2026-05-19T15:31:49.340152+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_23e4abd05b78aa2b", + "problem_id": "v2p_c14_5d2c57859c7d1361", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=id.", + "bindings": { + "group_col": "nom_3", + "measure_col": "id", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_23e4abd05b78aa2b.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_23e4abd05b78aa2b", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 571, + "total_tokens": 16477, + "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": 12266.54, + "sql_execution_elapsed_ms_total": 165.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/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_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fb2d820320e342eca778aeb89158a7b141ad4e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:49.172282+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12266.54, "started_at": "2026-05-19T15:31:36.904674+00:00", "ended_at": "2026-05-19T15:31:49.171249+00:00", "prompt_metrics": {"chars": 11683, "bytes_utf8": 11683, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 571, "reasoning_output_tokens": 466}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"nom_3\\\" and measure_col=\\\"id\\\". CAST is used because \\\"id\\\" is stored as TEXT in the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a3d08fd5f0b88892658d6476d7488860de1c3cef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_23e4abd05b78aa2b", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 571, + "total_tokens": 16477, + "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": 12266.54, + "sql_execution_elapsed_ms_total": 165.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23e4abd05b78aa2b/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_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ae379ab28de09ed186cc7106d2b22dcec5d9e81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12493, "bytes_utf8": 12493, "lines": 399, "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": 16119, "cached_input_tokens": 14720, "output_tokens": 800, "reasoning_output_tokens": 618}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d8d6396d4dbfd762e8e12312f6414aa5ecb27584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_23f4803e2d040186", + "api_calls": 0, + "input_tokens": 16119, + "cached_input_tokens": 14720, + "output_tokens": 800, + "total_tokens": 16919, + "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": 18115.78, + "sql_execution_elapsed_ms_total": 159.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/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_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..12eaa4febeb52f5889a692f074018424c2a8df34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/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": "2026-05-19T15:40:28.190630+00:00", + "ended_at": "2026-05-19T15:40:46.306442+00:00", + "elapsed_ms": 18115.78, + "prompt_metrics": { + "chars": 12493, + "bytes_utf8": 12493, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 993, + "bytes_utf8": 993, + "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": 16119, + "cached_input_tokens": 14720, + "output_tokens": 800, + "reasoning_output_tokens": 618 + } + }, + "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_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa182f4bda668578b07fb7061f6a334192149be8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_1, condition_col=nom_2.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_1", + "condition_col": "nom_2", + "condition_value": "Cat", + "positive_value": "Cat", + "negative_value": "Dog", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fed4e559af4deaa9f52395d87b27390a52bce13d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-4799-7ce1-9ee2-6ccd814c999b"} +{"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 \\\"bin_1\\\",\\n SUM(CASE WHEN \\\"nom_2\\\" = 'Cat' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"nom_2\\\" = 'Dog' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_1\\\"\\n)\\nSELECT \\\"bin_1\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio template using \\\"bin_1\\\" as the grouping column and \\\"nom_2\\\" as the conditional column, computing Cat-to-Dog count ratio per group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16119,"cached_input_tokens":14720,"output_tokens":800,"reasoning_output_tokens":618}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..596bfaaf2c6c63f8b8c04e7b90ddd2f18b76a596 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_1\",\n SUM(CASE WHEN \"nom_2\" = 'Cat' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"nom_2\" = 'Dog' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"bin_1\"\n)\nSELECT \"bin_1\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Grouped ratio template using \"bin_1\" as the grouping column and \"nom_2\" as the conditional column, computing Cat-to-Dog count ratio per group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_23f4803e2d040186/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b388692129bbfd74e0c533c375eafefbc8190ef5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_1, measure_col=ord_0. +Result preview: [{"ord_1": "Novice", "ord_4": "L", "total_measure": 12078.0, "share_within_group": 6.44796198916264}, {"ord_1": "Contributor", "ord_4": "S", "total_measure": 4076.0, "share_within_group": 6.421425758172509}, {"ord_1": "Expert", "ord_4": "A", "total_measure": 2385.0, "share_within_group": 6.419919246298789}, {"ord_1": "Grandmaster", "ord_4": "G", "total_measure": 7333.0, "share_within_group": 6.408060541447472}, {"ord_1": "Master", "ord_4": "L", "total_measure": 2644.0, "share_within_group": 6.371698476961635}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dcefcc0314684fc8b2fe03c681ef38550862ed5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_269b5caa74bf8b21 +-- problem_id: v2p_c14_cad7711f36e339cd +-- realization_mode: agent +-- source_kind: agent +SELECT "ord_1", "ord_4", + SUM(CAST("ord_0" AS REAL)) AS total_measure, + SUM(CAST("ord_0" AS REAL)) * 100.0 / SUM(SUM(CAST("ord_0" AS REAL))) OVER (PARTITION BY "ord_1") AS share_within_group +FROM "c14" +GROUP BY "ord_1", "ord_4" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e82e18a3bf55b33164065a6ad29cf1aaba5ae783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_1\", \"ord_4\",\n SUM(CAST(\"ord_0\" AS REAL)) AS total_measure,\n SUM(CAST(\"ord_0\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS REAL))) OVER (PARTITION BY \"ord_1\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_1\", \"ord_4\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_1\\\", \\\"ord_4\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"ord_1\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_1\\\", \\\"ord_4\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"ord_1\", \"ord_4\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_1\": \"Novice\", \"ord_4\": \"L\", \"total_measure\": 12078.0, \"share_within_group\": 6.44796198916264}, {\"ord_1\": \"Contributor\", \"ord_4\": \"S\", \"total_measure\": 4076.0, \"share_within_group\": 6.421425758172509}, {\"ord_1\": \"Expert\", \"ord_4\": \"A\", \"total_measure\": 2385.0, \"share_within_group\": 6.419919246298789}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"G\", \"total_measure\": 7333.0, \"share_within_group\": 6.408060541447472}, {\"ord_1\": \"Master\", \"ord_4\": \"L\", \"total_measure\": 2644.0, \"share_within_group\": 6.371698476961635}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"L\", \"total_measure\": 7261.0, \"share_within_group\": 6.345142178024014}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"S\", \"total_measure\": 7253.0, \"share_within_group\": 6.338151248754741}, {\"ord_1\": \"Expert\", \"ord_4\": \"G\", \"total_measure\": 2353.0, \"share_within_group\": 6.33378196500673}, {\"ord_1\": \"Expert\", \"ord_4\": \"S\", \"total_measure\": 2340.0, \"share_within_group\": 6.29878869448183}, {\"ord_1\": \"Novice\", \"ord_4\": \"S\", \"total_measure\": 11744.0, \"share_within_group\": 6.269652724021034}, {\"ord_1\": \"Master\", \"ord_4\": \"S\", \"total_measure\": 2598.0, \"share_within_group\": 6.260844418739156}, {\"ord_1\": \"Contributor\", \"ord_4\": \"L\", \"total_measure\": 3974.0, \"share_within_group\": 6.260732571878693}, {\"ord_1\": \"Contributor\", \"ord_4\": \"G\", \"total_measure\": 3972.0, \"share_within_group\": 6.257581725088618}, {\"ord_1\": \"Novice\", \"ord_4\": \"G\", \"total_measure\": 11696.0, \"share_within_group\": 6.244027440407869}, {\"ord_1\": \"Master\", \"ord_4\": \"G\", \"total_measure\": 2585.0, \"share_within_group\": 6.22951609793715}, {\"ord_1\": \"Novice\", \"ord_4\": \"A\", \"total_measure\": 11444.0, \"share_within_group\": 6.109494701438753}, {\"ord_1\": \"Expert\", \"ord_4\": \"L\", \"total_measure\": 2267.0, \"share_within_group\": 6.102288021534321}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"A\", \"total_measure\": 6932.0, \"share_within_group\": 6.057640211825157}, {\"ord_1\": \"Master\", \"ord_4\": \"A\", \"total_measure\": 2497.0, \"share_within_group\": 6.017447464815886}, {\"ord_1\": \"Contributor\", \"ord_4\": \"A\", \"total_measure\": 3814.0, \"share_within_group\": 6.008664828672706}, {\"ord_1\": \"Expert\", \"ord_4\": \"R\", \"total_measure\": 2192.0, \"share_within_group\": 5.900403768506057}, {\"ord_1\": \"Master\", \"ord_4\": \"R\", \"total_measure\": 2378.0, \"share_within_group\": 5.7306728359359935}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"R\", \"total_measure\": 6399.0, \"share_within_group\": 5.591869549259835}, {\"ord_1\": \"Novice\", \"ord_4\": \"R\", \"total_measure\": 10429.0, \"share_within_group\": 5.567626725035368}, {\"ord_1\": \"Contributor\", \"ord_4\": \"R\", \"total_measure\": 3510.0, \"share_within_group\": 5.529736116581331}, {\"ord_1\": \"Expert\", \"ord_4\": \"Q\", \"total_measure\": 2024.0, \"share_within_group\": 5.4481830417227455}, {\"ord_1\": \"Master\", \"ord_4\": \"Q\", \"total_measure\": 2240.0, \"share_within_group\": 5.398110661268556}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"Q\", \"total_measure\": 6113.0, \"share_within_group\": 5.341943827883322}, {\"ord_1\": \"Novice\", \"ord_4\": \"Q\", \"total_measure\": 9928.0, \"share_within_group\": 5.300162827322959}, {\"ord_1\": \"Contributor\", \"ord_4\": \"Q\", \"total_measure\": 3256.0, \"share_within_group\": 5.129578574241828}, {\"ord_1\": \"Novice\", \"ord_4\": \"K\", \"total_measure\": 9353.0, \"share_within_group\": 4.993193284040253}, {\"ord_1\": \"Master\", \"ord_4\": \"K\", \"total_measure\": 2067.0, \"share_within_group\": 4.981203007518797}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"I\", \"total_measure\": 5670.0, \"share_within_group\": 4.954821119597322}, {\"ord_1\": \"Expert\", \"ord_4\": \"K\", \"total_measure\": 1839.0, \"share_within_group\": 4.950201884253028}, {\"ord_1\": \"Novice\", \"ord_4\": \"I\", \"total_measure\": 9178.0, \"share_within_group\": 4.899767770867256}, {\"ord_1\": \"Contributor\", \"ord_4\": \"Z\", \"total_measure\": 3097.0, \"share_within_group\": 4.879086254430878}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"T\", \"total_measure\": 5581.0, \"share_within_group\": 4.877047031476659}, {\"ord_1\": \"Contributor\", \"ord_4\": \"I\", \"total_measure\": 3094.0, \"share_within_group\": 4.874359984245766}, {\"ord_1\": \"Contributor\", \"ord_4\": \"K\", \"total_measure\": 3092.0, \"share_within_group\": 4.871209137455692}, {\"ord_1\": \"Expert\", \"ord_4\": \"Z\", \"total_measure\": 1792.0, \"share_within_group\": 4.823687752355316}, {\"ord_1\": \"Master\", \"ord_4\": \"I\", \"total_measure\": 1999.0, \"share_within_group\": 4.817331791016001}, {\"ord_1\": \"Novice\", \"ord_4\": \"V\", \"total_measure\": 9017.0, \"share_within_group\": 4.813816298748098}, {\"ord_1\": \"Grandmaster\", \"ord_4\": \"K\", \"total_measure\": 5491.0, \"share_within_group\": 4.798399077197336}, {\"ord_1\": \"Novice\", \"ord_4\": \"Z\", \"total_measure\": 8985.0, \"share_within_group\": 4.796732776339321}, {\"ord_1\": \"Contributor\", \"ord_4\": \"V\", \"total_measure\": 3036.0, \"share_within_group\": 4.782985427333596}, {\"ord_1\": \"Novice\", \"ord_4\": \"T\", \"total_measure\": 8854.0, \"share_within_group\": 4.726797106478392}, {\"ord_1\": \"Expert\", \"ord_4\": \"V\", \"total_measure\": 1737.0, \"share_within_group\": 4.6756393001345895}, {\"ord_1\": \"Master\", \"ord_4\": \"Z\", \"total_measure\": 1936.0, \"share_within_group\": 4.665509928667824}, {\"ord_1\": \"Master\", \"ord_4\": \"T\", \"total_measure\": 1933.0, \"share_within_group\": 4.658280316175053}, {\"ord_1\": \"Contributor\", \"ord_4\": \"T\", \"total_measure\": 2953.0, \"share_within_group\": 4.65222528554549}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 304.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b13bdc55b961578becac3a7436ef29f7658029b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:37:17.054895+00:00", + "ended_at": "2026-05-19T15:37:31.158613+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_269b5caa74bf8b21", + "problem_id": "v2p_c14_cad7711f36e339cd", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_1, measure_col=ord_0.", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "item_col": "ord_4", + "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": 2.32, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_269b5caa74bf8b21.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_269b5caa74bf8b21", + "api_calls": 0, + "input_tokens": 16030, + "cached_input_tokens": 14720, + "output_tokens": 699, + "total_tokens": 16729, + "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": 13778.05, + "sql_execution_elapsed_ms_total": 304.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/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_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8129e5e6a40fee0e45e4c809f806956d5f034d30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:30.851107+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13778.05, "started_at": "2026-05-19T15:37:17.072066+00:00", "ended_at": "2026-05-19T15:37:30.850144+00:00", "prompt_metrics": {"chars": 12092, "bytes_utf8": 12092, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 569, "bytes_utf8": 569, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16030, "cached_input_tokens": 14720, "output_tokens": 699, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_1\\\", \\\"ord_4\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"ord_1\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_1\\\", \\\"ord_4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used template tpl_tpcds_within_group_share with group_col=\\\"ord_1\\\", item_col=\\\"ord_4\\\", and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" from TEXT to REAL so SUM and percentage calculations are numeric in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a965626e15e8636245efdb9320c48ec17993e5da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_269b5caa74bf8b21", + "api_calls": 0, + "input_tokens": 16030, + "cached_input_tokens": 14720, + "output_tokens": 699, + "total_tokens": 16729, + "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": 13778.05, + "sql_execution_elapsed_ms_total": 304.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_269b5caa74bf8b21/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_d/c14/artifacts/v2q_c14_2721b12f2107c867/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..73a2ac4a9af907081ae3b86193e03b5ab00efec6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 223018, "support_share": 0.7433933333333334, "cumulative_support": 223018}, {"value_label": "1", "support": 76982, "support_share": 0.25660666666666665, "cumulative_support": 300000}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..13a9e2d07aef0e6057e9cbb1ac15bbf705696b1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c14_2721b12f2107c867 +-- problem_id: v2p_c14_893641130cb2d327 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "bin_1" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "bin_1" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d297e4902944a96cbf20c0ce78499c6386d296d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c14_2721b12f2107c867\n-- problem_id: v2p_c14_893641130cb2d327\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"bin_1\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"bin_1\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c14_2721b12f2107c867\\n-- problem_id: v2p_c14_893641130cb2d327\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"bin_1\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_1\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 223018, \"support_share\": 0.7433933333333334, \"cumulative_support\": 223018}, {\"value_label\": \"1\", \"support\": 76982, \"support_share\": 0.25660666666666665, \"cumulative_support\": 300000}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 110.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d235c2b41368e91a904b204be6ad06863e4116ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:53.727960+00:00", + "ended_at": "2026-05-19T16:12:53.839556+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_2721b12f2107c867", + "problem_id": "v2p_c14_893641130cb2d327", + "dataset_id": "c14", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=bin_1.", + "bindings": { + "group_col": "bin_1" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_2721b12f2107c867.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2721b12f2107c867/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca3f503453da4ab3092ba57126ae722668a074f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11993, "bytes_utf8": 11993, "lines": 400, "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": 426, "bytes_utf8": 426, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16004, "cached_input_tokens": 14720, "output_tokens": 588, "reasoning_output_tokens": 455}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..62b0a975c003df6675c64d79347fffb79911d203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_2a6c42ddccd47a99", + "api_calls": 0, + "input_tokens": 16004, + "cached_input_tokens": 14720, + "output_tokens": 588, + "total_tokens": 16592, + "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": 14054.81, + "sql_execution_elapsed_ms_total": 196.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/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_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06332552fe3996f8939f981f23d8c65ffd44f17f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/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": "2026-05-19T15:44:09.676042+00:00", + "ended_at": "2026-05-19T15:44:23.730894+00:00", + "elapsed_ms": 14054.81, + "prompt_metrics": { + "chars": 11993, + "bytes_utf8": 11993, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 801, + "bytes_utf8": 801, + "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": 426, + "bytes_utf8": 426, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16004, + "cached_input_tokens": 14720, + "output_tokens": 588, + "reasoning_output_tokens": 455 + } + }, + "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_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..53b8012350cbd8afa2232228eb9d6179f91a5385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_3.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_3", + "predicate_col": "bin_1", + "predicate_op": "=", + "predicate_value": "0", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f75a4045f6011e059f3611248d8bada9d8bddb41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-a8b5-7be0-9d37-26eb51f82dfa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"nom_3\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_1\\\" = '0'\\nGROUP BY \\\"bin_3\\\", \\\"nom_3\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"bin_3\\\", group_col_2=\\\"nom_3\\\", and predicate \\\"bin_1\\\" = '0'. The predicate value is quoted as a text literal because the schema snapshot shows TEXT columns.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16004,"cached_input_tokens":14720,"output_tokens":588,"reasoning_output_tokens":455}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32e5e7d54c0574d315227cfeda2a3fa4da92ac39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_3\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nWHERE \"bin_1\" = '0'\nGROUP BY \"bin_3\", \"nom_3\"\nORDER BY \"row_count\" DESC;","notes":"Applied the provided template with group_col=\"bin_3\", group_col_2=\"nom_3\", and predicate \"bin_1\" = '0'. The predicate value is quoted as a text literal because the schema snapshot shows TEXT columns."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2a6c42ddccd47a99/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bbab53645ec59c4f5faea56d0d07ad1a63a00f49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/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": "2026-05-19T16:09:03.797955+00:00", + "ended_at": "2026-05-19T16:09:06.968675+00:00", + "elapsed_ms": 3170.69, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93c4477a325c4385a9dbc803da8ed1c664bc9d72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/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": "2026-05-19T16:09:07.971532+00:00", + "ended_at": "2026-05-19T16:09:10.728167+00:00", + "elapsed_ms": 2756.59, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..df2e9deb93df6ba36dd490741260b8906f59bc05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_3", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..df2e9deb93df6ba36dd490741260b8906f59bc05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_3", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbb8afc7a922a9b08059c69324e37aa5c2d12181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-7530-7fe2-a89d-d20c586553f0"} +{"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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9697549dceacd223df75e92d0d635263c627144b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-7530-7fe2-a89d-d20c586553f0"} +{"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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2155cb06920406fe4d699a3370226f546dd7631e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-8577-7bf2-bf6a-1f4ad7412584"} +{"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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..67c15dbe55b550225a60aaba40ac7162adc5ca97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-8577-7bf2-bf6a-1f4ad7412584"} +{"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_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2ae0d396b2509ac0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd50e83e37818d122b57c67e448352487198d0a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month. +Result preview: [{"empirical_cdf_at_threshold": 0.7565066666666667}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..32205a93b539e7e05185b9fcb1af73c11e162d57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_c14_2f060eae394b2c1b +-- problem_id: v2p_c14_380f2cbcfb33e5ab +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("month" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "c14"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0e309a7cb8d2a6ad805264b3267e9304b682baf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"month\" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c14\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"month\\\" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c14\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7565066666666667}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dbe65a4029e08a27a7e8e1969172b28b38775c7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:07:44.118866+00:00", + "ended_at": "2026-05-19T16:07:55.725286+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_2f060eae394b2c1b", + "problem_id": "v2p_c14_380f2cbcfb33e5ab", + "dataset_id": "c14", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month.", + "bindings": { + "measure_col": "month", + "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": 9.0, + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=111" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_2f060eae394b2c1b.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_2f060eae394b2c1b", + "api_calls": 0, + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 278, + "total_tokens": 16171, + "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": 10531.6, + "sql_execution_elapsed_ms_total": 51.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/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_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c08bafe2fa052572cf6fd8250b60f5805117f5f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:46.988704+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2851.02, "started_at": "2026-05-19T16:07:44.136926+00:00", "ended_at": "2026-05-19T16:07:46.987965+00:00", "prompt_metrics": {"chars": 11624, "bytes_utf8": 11624, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-3e2b-7970-8637-450730657d58\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:55.672167+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7680.58, "started_at": "2026-05-19T16:07:47.990690+00:00", "ended_at": "2026-05-19T16:07:55.671325+00:00", "prompt_metrics": {"chars": 11624, "bytes_utf8": 11624, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 356, "bytes_utf8": 356, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15893, "cached_input_tokens": 12032, "output_tokens": 278, "reasoning_output_tokens": 173}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"month\\\" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c14\\\";\",\"notes\":\"Applied the planned Threshold Rarity CDF template with measure_col bound to \\\"month\\\" and threshold 9.0. Used CAST(\\\"month\\\" AS REAL) because the schema stores month as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..26d5a5bec0f4dcefde8ab4ed4787d2043fdd5ec0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_2f060eae394b2c1b", + "api_calls": 0, + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 278, + "total_tokens": 16171, + "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": 10531.6, + "sql_execution_elapsed_ms_total": 51.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f060eae394b2c1b/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_d/c14/artifacts/v2q_c14_2f371548e14ea77d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3bc10520835148e0f210868ebc62aa5980d9c45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 194846, "support_share": 0.6494866666666667, "support_rank": 1}, {"value_label": "2", "support": 66438, "support_share": 0.22146, "support_rank": 2}, {"value_label": "3", "support": 38716, "support_share": 0.12905333333333333, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..082b315556b5bbc1a11ba8232ebd98721a268e0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c14_2f371548e14ea77d +-- problem_id: v2p_c14_363eec9a2c0975a6 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ord_0" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "ord_0" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a0cd77c70d4c618acf0ed5cd8c3a3710e789ca4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_2f371548e14ea77d\n-- problem_id: v2p_c14_363eec9a2c0975a6\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"ord_0\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"ord_0\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_2f371548e14ea77d\\n-- problem_id: v2p_c14_363eec9a2c0975a6\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"ord_0\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"ord_0\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"1\", \"support\": 194846, \"support_share\": 0.6494866666666667, \"support_rank\": 1}, {\"value_label\": \"2\", \"support\": 66438, \"support_share\": 0.22146, \"support_rank\": 2}, {\"value_label\": \"3\", \"support\": 38716, \"support_share\": 0.12905333333333333, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 142.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d990244ce676e740d13373ce639ff9569235c90c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:56.259921+00:00", + "ended_at": "2026-05-19T16:12:56.404171+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_2f371548e14ea77d", + "problem_id": "v2p_c14_363eec9a2c0975a6", + "dataset_id": "c14", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=ord_0.", + "bindings": { + "group_col": "ord_0" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_2f371548e14ea77d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f371548e14ea77d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8d7325db1e821ca3b63cd929e9ffeceb5e2d9c3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/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": "2026-05-19T16:11:52.596786+00:00", + "ended_at": "2026-05-19T16:11:55.881072+00:00", + "elapsed_ms": 3284.26, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7b4e1d3c5ab058d66699bb78d6362ac810d13982 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/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": "2026-05-19T16:11:56.882666+00:00", + "ended_at": "2026-05-19T16:11:59.622642+00:00", + "elapsed_ms": 2739.94, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ceaf282d0fd8241a1d7cc584e09ad512bed9e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ord_1, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ceaf282d0fd8241a1d7cc584e09ad512bed9e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ord_1, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1df2e554cf126009a77211a76e7d18aafe85b85b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-089e-7211-9f9e-2c159c336f96"} +{"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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b86c1dccbaa72a046084d06916211e648074cd92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-089e-7211-9f9e-2c159c336f96"} +{"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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..513ebbe9111509c1e685329ac3c2bc6ddfdeca20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-194c-7930-ab82-44cf2580dd3b"} +{"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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..32fae063b91f0f3f223e1f17a5d90a1f28c99ab2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-194c-7930-ab82-44cf2580dd3b"} +{"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_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_2f698f88b8246179/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d1f471ac2f5f7e085c84df4b26f476f4cb19fe9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/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": "2026-05-19T16:12:22.042385+00:00", + "ended_at": "2026-05-19T16:12:24.848417+00:00", + "elapsed_ms": 2806.0, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fd11586ef374f3fc1546ff80cebbe57cc9a4b3fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/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": "2026-05-19T16:12:25.850660+00:00", + "ended_at": "2026-05-19T16:12:29.522605+00:00", + "elapsed_ms": 3671.92, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3df96b9931a4795e7426971f185a0ac8b60fb72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3df96b9931a4795e7426971f185a0ac8b60fb72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..81b3515c4c6b0284719bc6ebe7cab91831dec2f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7ba6-7872-aa08-2b71e14cd4c0"} +{"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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f57ecb28c8f4ff49c2772e72daea82d93abdbfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-7ba6-7872-aa08-2b71e14cd4c0"} +{"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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..332d621f480ca0bce1ec7e2075e7fb92b8370e73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-8a7d-7340-9438-062cbe1a7776"} +{"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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..33db48175ddfeedf50f785e8c3a1414ce5458e7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-8a7d-7340-9438-062cbe1a7776"} +{"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_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3063141ddd8b8bb2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e249b04481295258a7adde65c22c5f25af1fbefa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/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": "2026-05-19T16:10:09.304426+00:00", + "ended_at": "2026-05-19T16:10:12.186878+00:00", + "elapsed_ms": 2882.41, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b369b0d739e5683602976f82e329ae2c140ad00a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/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": "2026-05-19T16:10:13.188728+00:00", + "ended_at": "2026-05-19T16:10:16.295700+00:00", + "elapsed_ms": 3106.94, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b55f32a4dab4937143f0bc41d3fe71a1a401775a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b55f32a4dab4937143f0bc41d3fe71a1a401775a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..80012de3e43d18202a8f7d74488bc213e2011604 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7523-7b33-a6d7-7ab1fdf2aa94"} +{"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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d918443d2ab313a1c5bd62fd286cb7f981d612d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7523-7b33-a6d7-7ab1fdf2aa94"} +{"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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e8dd62a3d8a6bb63273dd30005474a595025503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-8450-76a1-ad29-f4a04273f239"} +{"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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fd7fd0becca9341baafcade45c46d5fd3bd18a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-8450-76a1-ad29-f4a04273f239"} +{"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_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_34048489017ef4be/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..42623a26a01035f90bdccb656d084a1ea3463fe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12235, "bytes_utf8": 12235, "lines": 396, "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": 605, "bytes_utf8": 605, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16042, "cached_input_tokens": 14720, "output_tokens": 678, "reasoning_output_tokens": 512}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9bc3d3206bfd6f71dca78e8164d2296a470f4313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_37a8691b1b722369", + "api_calls": 0, + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 678, + "total_tokens": 16720, + "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": 17735.98, + "sql_execution_elapsed_ms_total": 146.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/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_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ebeaeca2c67cea136d2c511d740b07618b91a15f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/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": "2026-05-19T15:47:42.790756+00:00", + "ended_at": "2026-05-19T15:48:00.526780+00:00", + "elapsed_ms": 17735.98, + "prompt_metrics": { + "chars": 12235, + "bytes_utf8": 12235, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 972, + "bytes_utf8": 972, + "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": 605, + "bytes_utf8": 605, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 678, + "reasoning_output_tokens": 512 + } + }, + "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_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c396d5fa64c0a1578a7b9e444b9885895bebabba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_0, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_0", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69f0e26aac91b09183b1c24f7359225168e9d88a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-e9b6-7312-9abd-d0f6a115dfcf"} +{"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 \\\"bin_0\\\", COUNT(\\\"id\\\") AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_0\\\", 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 Relative-to-Total Extreme Threshold template with group_col=\\\"bin_0\\\". COUNT(\\\"id\\\") is used for the count_distribution probe so group_value reflects row counts per bin_0 category.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16042,"cached_input_tokens":14720,"output_tokens":678,"reasoning_output_tokens":512}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b8e3024ce58b24dc473a20f1625a612449788fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_0\", COUNT(\"id\") AS group_value\n FROM \"c14\"\n GROUP BY \"bin_0\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_0\", 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 Relative-to-Total Extreme Threshold template with group_col=\"bin_0\". COUNT(\"id\") is used for the count_distribution probe so group_value reflects row counts per bin_0 category."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_37a8691b1b722369/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dea71d9f02f0ba01bd96816a316674fd59ab01b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12499, "bytes_utf8": 12499, "lines": 399, "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": 732, "bytes_utf8": 732, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16122, "cached_input_tokens": 14720, "output_tokens": 653, "reasoning_output_tokens": 428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5d36e423fa65ee461a4386eca12f2e8e70d4e664 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_3843ef722037abe8", + "api_calls": 0, + "input_tokens": 16122, + "cached_input_tokens": 14720, + "output_tokens": 653, + "total_tokens": 16775, + "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": 15789.31, + "sql_execution_elapsed_ms_total": 175.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/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_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..242a2495ee2df30e178037ea04a2a093b1993a37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/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": "2026-05-19T15:41:34.402983+00:00", + "ended_at": "2026-05-19T15:41:50.192328+00:00", + "elapsed_ms": 15789.31, + "prompt_metrics": { + "chars": 12499, + "bytes_utf8": 12499, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1135, + "bytes_utf8": 1135, + "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": 732, + "bytes_utf8": 732, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16122, + "cached_input_tokens": 14720, + "output_tokens": 653, + "reasoning_output_tokens": 428 + } + }, + "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_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c1755d80f8dabcb9b6297981ed2ba107f7edf5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_3, condition_col=nom_4.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_3", + "condition_col": "nom_4", + "condition_value": "Oboe", + "positive_value": "Oboe", + "negative_value": "Bassoon", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..134ea9d798d00bdd9ad9178f77cd1a9ee2a85a52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-4a5b-78d3-8a6d-9ad28da18af4"} +{"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\\n \\\"bin_3\\\",\\n SUM(CASE WHEN \\\"nom_4\\\" = 'Oboe' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"nom_4\\\" = 'Bassoon' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_3\\\"\\n)\\nSELECT\\n \\\"bin_3\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"bin_3\\\" and condition_col=\\\"nom_4\\\", computing the ratio of 'Oboe' counts to 'Bassoon' counts within each bin_3 group. Groups with zero 'Bassoon' rows yield NULL ratios.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16122,"cached_input_tokens":14720,"output_tokens":653,"reasoning_output_tokens":428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..96141779180d617451df5fdf58bd6de06ff45d5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT\n \"bin_3\",\n SUM(CASE WHEN \"nom_4\" = 'Oboe' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"nom_4\" = 'Bassoon' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"c14\"\n GROUP BY \"bin_3\"\n)\nSELECT\n \"bin_3\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Uses the planned template with group_col=\"bin_3\" and condition_col=\"nom_4\", computing the ratio of 'Oboe' counts to 'Bassoon' counts within each bin_3 group. Groups with zero 'Bassoon' rows yield NULL ratios."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3843ef722037abe8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c5652afa60a32646bf52c265d6f2f36cdc359b04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:10:23.340769+00:00", + "ended_at": "2026-05-19T16:10:30.829860+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_3a39dd668c4c9c06", + "problem_id": "v2p_c14_a634da53c322ef4d", + "dataset_id": "c14", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_1.", + "bindings": { + "group_col": "bin_1", + "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": 9.0, + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ab49478f5668ad5d6beca94b0e1907e4b592b12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3a39dd668c4c9c06/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:26.569802+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3209.33, "started_at": "2026-05-19T16:10:23.359750+00:00", "ended_at": "2026-05-19T16:10:26.569110+00:00", "prompt_metrics": {"chars": 11677, "bytes_utf8": 11677, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-ac05-7631-ac9b-f5cc8649fb99\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:30.829771+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3258.17, "started_at": "2026-05-19T16:10:27.570881+00:00", "ended_at": "2026-05-19T16:10:30.829087+00:00", "prompt_metrics": {"chars": 11677, "bytes_utf8": 11677, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-bc76-77a2-8a2a-0537c2b60aea\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e42e41209130aa3a98379854a0943db54c721b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=id. +Result preview: [{"nom_3": "Russia", "group_value": 15163069271.0}, {"nom_3": "Canada", "group_value": 7491046383.0}, {"nom_3": "China", "group_value": 6908225661.0}, {"nom_3": "Finland", "group_value": 5544804166.0}, {"nom_3": "Costa Rica", "group_value": 5390783363.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fffc268cc606557f5dcc14ed0cb4225367d3a11a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c14_3f70b4848424d74b +-- problem_id: v2p_c14_594bbb493c3fffc3 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "nom_3", SUM(CAST("id" AS REAL)) AS group_value + FROM "c14" + WHERE "nom_3" IS NOT NULL + AND "id" IS NOT NULL + GROUP BY "nom_3" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."nom_3", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..07e7075a831c79ec2c57e19887473b065ff68197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_3\", SUM(CAST(\"id\" AS REAL)) AS group_value\n FROM \"c14\"\n WHERE \"nom_3\" IS NOT NULL\n AND \"id\" IS NOT NULL\n GROUP BY \"nom_3\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_3\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_3\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n GROUP BY \\\"nom_3\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_3\\\", 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;\", \"columns\": [\"nom_3\", \"group_value\"], \"rows\": [{\"nom_3\": \"Russia\", \"group_value\": 15163069271.0}, {\"nom_3\": \"Canada\", \"group_value\": 7491046383.0}, {\"nom_3\": \"China\", \"group_value\": 6908225661.0}, {\"nom_3\": \"Finland\", \"group_value\": 5544804166.0}, {\"nom_3\": \"Costa Rica\", \"group_value\": 5390783363.0}, {\"nom_3\": \"India\", \"group_value\": 4501921156.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 167.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8e3f9ae3d3c054108bb86655b97e5759b4dc049c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:51:37.962076+00:00", + "ended_at": "2026-05-19T15:51:58.790153+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_3f70b4848424d74b", + "problem_id": "v2p_c14_594bbb493c3fffc3", + "dataset_id": "c14", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=id.", + "bindings": { + "group_col": "nom_3", + "measure_col": "id", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_3f70b4848424d74b.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_3f70b4848424d74b", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 16606, + "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": 20641.15, + "sql_execution_elapsed_ms_total": 167.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/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_d/c14/artifacts/v2q_c14_3f70b4848424d74b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..124c1cf91b1a8e6c84f76106c75037f13a885df2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:58.620396+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20641.15, "started_at": "2026-05-19T15:51:37.978336+00:00", "ended_at": "2026-05-19T15:51:58.619513+00:00", "prompt_metrics": {"chars": 12239, "bytes_utf8": 12239, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 12032, "output_tokens": 562, "reasoning_output_tokens": 367}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_3\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n GROUP BY \\\"nom_3\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_3\\\", 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 group_col=\\\"nom_3\\\" and measure_col=\\\"id\\\". Cast \\\"id\\\" from TEXT to REAL for SQLite-safe aggregation and filtered NULL group/measure values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..98e247dc070a909b695d54d9a64051b4a1b11d78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_3f70b4848424d74b", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 16606, + "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": 20641.15, + "sql_execution_elapsed_ms_total": 167.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_3f70b4848424d74b/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_d/c14/artifacts/v2q_c14_401467f27a642c73/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bc703dda7dab3c74ab7091c532b464964eb0644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"id": "299999"}, {"id": "299998"}, {"id": "299997"}, {"id": "299996"}, {"id": "299995"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0af8f6d04b3c0cc2889f4fce54ae058814cecff1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_c14_401467f27a642c73 +-- problem_id: v2p_c14_bc15a94106102662 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "id", + NTILE(10) OVER (ORDER BY CAST("id" AS INTEGER) DESC) AS tail_bucket + FROM "c14" +) +SELECT "id" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("id" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..04fd1e8b64e757cff8dd2cddf88c43149723088c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"id\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS INTEGER) DESC) AS tail_bucket\n FROM \"c14\"\n)\nSELECT \"id\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"id\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS INTEGER) DESC;\", \"columns\": [\"id\"], \"rows\": [{\"id\": \"299999\"}, {\"id\": \"299998\"}, {\"id\": \"299997\"}, {\"id\": \"299996\"}, {\"id\": \"299995\"}, {\"id\": \"299994\"}, {\"id\": \"299993\"}, {\"id\": \"299992\"}, {\"id\": \"299991\"}, {\"id\": \"299990\"}, {\"id\": \"299989\"}, {\"id\": \"299988\"}, {\"id\": \"299987\"}, {\"id\": \"299986\"}, {\"id\": \"299985\"}, {\"id\": \"299984\"}, {\"id\": \"299983\"}, {\"id\": \"299982\"}, {\"id\": \"299981\"}, {\"id\": \"299980\"}, {\"id\": \"299979\"}, {\"id\": \"299978\"}, {\"id\": \"299977\"}, {\"id\": \"299976\"}, {\"id\": \"299975\"}, {\"id\": \"299974\"}, {\"id\": \"299973\"}, {\"id\": \"299972\"}, {\"id\": \"299971\"}, {\"id\": \"299970\"}, {\"id\": \"299969\"}, {\"id\": \"299968\"}, {\"id\": \"299967\"}, {\"id\": \"299966\"}, {\"id\": \"299965\"}, {\"id\": \"299964\"}, {\"id\": \"299963\"}, {\"id\": \"299962\"}, {\"id\": \"299961\"}, {\"id\": \"299960\"}, {\"id\": \"299959\"}, {\"id\": \"299958\"}, {\"id\": \"299957\"}, {\"id\": \"299956\"}, {\"id\": \"299955\"}, {\"id\": \"299954\"}, {\"id\": \"299953\"}, {\"id\": \"299952\"}, {\"id\": \"299951\"}, {\"id\": \"299950\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 403.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b618da7b64346e37d8629f37c652303d3d6ab2d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:47:28.385464+00:00", + "ended_at": "2026-05-19T15:47:42.763570+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_401467f27a642c73", + "problem_id": "v2p_c14_bc15a94106102662", + "dataset_id": "c14", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=68" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_401467f27a642c73.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_401467f27a642c73", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 464, + "total_tokens": 16421, + "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": 13939.92, + "sql_execution_elapsed_ms_total": 403.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/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_d/c14/artifacts/v2q_c14_401467f27a642c73/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2561104695ce6b06c62b83ca4e4cb76765f10a7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:42.355125+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13939.92, "started_at": "2026-05-19T15:47:28.413952+00:00", "ended_at": "2026-05-19T15:47:42.353933+00:00", "prompt_metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 539, "bytes_utf8": 539, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 14720, "output_tokens": 464, "reasoning_output_tokens": 316}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"id\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"id\\\" and num_tiles=10. CAST(\\\"id\\\" AS INTEGER) is used so the tail bucket reflects numeric rather than lexicographic ordering, since the SQLite schema stores \\\"id\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..30d8270023a1ed90d595687b8dea02fda5560fed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_401467f27a642c73", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 464, + "total_tokens": 16421, + "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": 13939.92, + "sql_execution_elapsed_ms_total": 403.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_401467f27a642c73/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_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..89e51cb91cf9cf6d76cc9c98271f0d7761c13e36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 396, "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": 1425, "bytes_utf8": 1425, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 12032, "output_tokens": 2573, "reasoning_output_tokens": 2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b6fec993388f9debf3aac1967c5888bdd6bf6248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_408c4c94b2913eed", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 2573, + "total_tokens": 18517, + "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": 39068.1, + "sql_execution_elapsed_ms_total": 1129.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/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_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..50440aebb6725135a0e859b7bd0b36e689000310 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/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": "2026-05-19T16:00:28.960979+00:00", + "ended_at": "2026-05-19T16:01:08.029111+00:00", + "elapsed_ms": 39068.1, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1862, + "bytes_utf8": 1862, + "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": 1425, + "bytes_utf8": 1425, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 2573, + "reasoning_output_tokens": 2070 + } + }, + "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_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b3f2d58165ee10d87ef331c5ef9f468efcbd8b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_0, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_0", + "measure_col": "day", + "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": 3.64, + "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_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d00b9679fd1afaa1bfc5f91d511ca4756238836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-9a38-7530-97d1-548c872d204e"} +{"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 \\\"bin_0\\\",\\n CAST(\\\"day\\\" AS REAL) AS day_value,\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_0\\\"\\n ORDER BY CAST(\\\"day\\\" AS REAL)\\n ) AS rn,\\n COUNT(*) OVER (\\n PARTITION BY \\\"bin_0\\\"\\n ) AS cnt\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_0\\\" IS NOT NULL\\n AND \\\"day\\\" IS NOT NULL\\n), group_stats AS (\\n SELECT DISTINCT\\n \\\"bin_0\\\",\\n (1.0 + (cnt - 1) * 0.9) AS pos,\\n CAST(1.0 + (cnt - 1) * 0.9 AS INTEGER) AS lower_rn,\\n CAST(1.0 + (cnt - 1) * 0.9 AS INTEGER) +\\n CASE\\n WHEN (1.0 + (cnt - 1) * 0.9) > CAST(1.0 + (cnt - 1) * 0.9 AS INTEGER) THEN 1\\n ELSE 0\\n END AS upper_rn\\n FROM ranked\\n WHERE cnt >= 5\\n)\\nSELECT\\n r.\\\"bin_0\\\",\\n CASE\\n WHEN gs.lower_rn = gs.upper_rn THEN\\n MAX(CASE WHEN r.rn = gs.lower_rn THEN r.day_value END)\\n ELSE\\n MAX(CASE WHEN r.rn = gs.lower_rn THEN r.day_value END) * (gs.upper_rn - gs.pos) +\\n MAX(CASE WHEN r.rn = gs.upper_rn THEN r.day_value END) * (gs.pos - gs.lower_rn)\\n END AS \\\"percentile_measure\\\"\\nFROM ranked AS r\\nJOIN group_stats AS gs\\n ON r.\\\"bin_0\\\" = gs.\\\"bin_0\\\"\\nGROUP BY r.\\\"bin_0\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates SQLite-incompatible PERCENTILE_CONT(0.9) for each \\\"bin_0\\\" group by ranking CAST(\\\"day\\\" AS REAL) values and linearly interpolating between the bounding rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":12032,"output_tokens":2573,"reasoning_output_tokens":2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79fc47d960290a582cc3bfa855bfbe290b0bfd1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH ranked AS (\n SELECT\n \"bin_0\",\n CAST(\"day\" AS REAL) AS day_value,\n ROW_NUMBER() OVER (\n PARTITION BY \"bin_0\"\n ORDER BY CAST(\"day\" AS REAL)\n ) AS rn,\n COUNT(*) OVER (\n PARTITION BY \"bin_0\"\n ) AS cnt\n FROM \"c14\"\n WHERE \"bin_0\" IS NOT NULL\n AND \"day\" IS NOT NULL\n), group_stats AS (\n SELECT DISTINCT\n \"bin_0\",\n (1.0 + (cnt - 1) * 0.9) AS pos,\n CAST(1.0 + (cnt - 1) * 0.9 AS INTEGER) AS lower_rn,\n CAST(1.0 + (cnt - 1) * 0.9 AS INTEGER) +\n CASE\n WHEN (1.0 + (cnt - 1) * 0.9) > CAST(1.0 + (cnt - 1) * 0.9 AS INTEGER) THEN 1\n ELSE 0\n END AS upper_rn\n FROM ranked\n WHERE cnt >= 5\n)\nSELECT\n r.\"bin_0\",\n CASE\n WHEN gs.lower_rn = gs.upper_rn THEN\n MAX(CASE WHEN r.rn = gs.lower_rn THEN r.day_value END)\n ELSE\n MAX(CASE WHEN r.rn = gs.lower_rn THEN r.day_value END) * (gs.upper_rn - gs.pos) +\n MAX(CASE WHEN r.rn = gs.upper_rn THEN r.day_value END) * (gs.pos - gs.lower_rn)\n END AS \"percentile_measure\"\nFROM ranked AS r\nJOIN group_stats AS gs\n ON r.\"bin_0\" = gs.\"bin_0\"\nGROUP BY r.\"bin_0\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates SQLite-incompatible PERCENTILE_CONT(0.9) for each \"bin_0\" group by ranking CAST(\"day\" AS REAL) values and linearly interpolating between the bounding rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_408c4c94b2913eed/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fa27e48a4abac6613887d52a7a371136d5f9e315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/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": "2026-05-19T16:10:16.314059+00:00", + "ended_at": "2026-05-19T16:10:19.308157+00:00", + "elapsed_ms": 2994.07, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..adf11f2d7802fe2ceb3720bb1672097a0f11ada8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/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": "2026-05-19T16:10:20.310071+00:00", + "ended_at": "2026-05-19T16:10:23.339190+00:00", + "elapsed_ms": 3029.09, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..783f021d267b0567c707e6a8cb6db1522126a7e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..783f021d267b0567c707e6a8cb6db1522126a7e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=bin_0.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_0", + "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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c40b0669a040fad8e7862ddc25c6f899009db08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-906a-7d81-9338-3803f2acf54d"} +{"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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d68d2bd4cc2d510a93a5e45c55bfbae06b78cd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-906a-7d81-9338-3803f2acf54d"} +{"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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee562d181b642f6e1e241c8a6c3e040af8fcd1f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-a012-7230-a8ab-4a5cea290443"} +{"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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6dcbdaba4a323be0a0f1a97a366051692789a420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-a012-7230-a8ab-4a5cea290443"} +{"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_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_40b310dbc1ef70e3/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3562809ff6a5e1c69092f556964715b762c7646e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/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": "2026-05-19T16:10:46.178455+00:00", + "ended_at": "2026-05-19T16:10:49.325950+00:00", + "elapsed_ms": 3147.46, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f86635c8badb957ac49b48a21144e5c439b00c48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/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": "2026-05-19T16:10:50.329268+00:00", + "ended_at": "2026-05-19T16:10:53.496248+00:00", + "elapsed_ms": 3166.93, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e4f1e46303c6fc2df4fd659cf11bb908f5af616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=nom_1, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e4f1e46303c6fc2df4fd659cf11bb908f5af616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=nom_1, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_1", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..930bf7e49abca69ba4893913c1027038d7cf91b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-051c-7101-836a-7f3ace5d7b6e"} +{"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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e10f535850315aeaec2b47ecb6aef38fe2c3b82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-051c-7101-836a-7f3ace5d7b6e"} +{"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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4fa814170a4ae48dc067e839c5fccb8bf34e2364 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-153b-7792-b8a0-1a92d5db7220"} +{"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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..46f418af5472c87fe7bb04dcc5fceb5208da63ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-153b-7792-b8a0-1a92d5db7220"} +{"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_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_416be6729257fbda/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1a4819be83a49b0345de4d3f79c89164ef585047 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:07:12.707567+00:00", + "ended_at": "2026-05-19T16:07:19.678392+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_42af23f46af782bf", + "problem_id": "v2p_c14_d148871138c21aaf", + "dataset_id": "c14", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_4, condition_col=target.", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d1520cddadc79e2b233df411873bbbc2e43fabd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_42af23f46af782bf/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:15.983334+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3258.56, "started_at": "2026-05-19T16:07:12.723787+00:00", "ended_at": "2026-05-19T16:07:15.982369+00:00", "prompt_metrics": {"chars": 11936, "bytes_utf8": 11936, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-c354-74b3-8621-8f63e685d1f0\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:19.678301+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2692.79, "started_at": "2026-05-19T16:07:16.984715+00:00", "ended_at": "2026-05-19T16:07:19.677544+00:00", "prompt_metrics": {"chars": 11936, "bytes_utf8": 11936, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-d401-7de2-af45-dae0a0a924e3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..483c76b123914eb8d4c53dd0766273ad80c06383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, measure_col=id. +Result preview: [{"ord_0": "3", "nom_9": "a67d22f37", "total_measure": 2737068, "share_within_group": 0.04703740330354198}, {"ord_0": "3", "nom_9": "98c24a69a", "total_measure": 2537673, "share_within_group": 0.04361073541231321}, {"ord_0": "3", "nom_9": "ffac03704", "total_measure": 2515477, "share_within_group": 0.04322928993718237}, {"ord_0": "3", "nom_9": "c307a2484", "total_measure": 2493816, "share_within_group": 0.04285703861096102}, {"ord_0": "2", "nom_9": "263bed53b", "total_measure": 4081754, "share_within_group": 0.04099905885186952}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5b928e7ad3c1fc3d29fe8eed04d5c9e7fbda2a6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_446e2306b409ff8f +-- problem_id: v2p_c14_fe2402f5dde1bd83 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_0", + "nom_9", + SUM(CAST("id" AS NUMERIC)) AS "total_measure", + SUM(CAST("id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("id" AS NUMERIC))) OVER (PARTITION BY "ord_0") AS "share_within_group" +FROM "c14" +GROUP BY "ord_0", "nom_9" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ffe79b041aeac70f1d01bbff66a8aa7e3486e91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_0\",\n \"nom_9\",\n SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\",\n SUM(CAST(\"id\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"id\" AS NUMERIC))) OVER (PARTITION BY \"ord_0\") AS \"share_within_group\"\nFROM \"c14\"\nGROUP BY \"ord_0\", \"nom_9\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_0\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"ord_0\", \"nom_9\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_0\": \"3\", \"nom_9\": \"a67d22f37\", \"total_measure\": 2737068, \"share_within_group\": 0.04703740330354198}, {\"ord_0\": \"3\", \"nom_9\": \"98c24a69a\", \"total_measure\": 2537673, \"share_within_group\": 0.04361073541231321}, {\"ord_0\": \"3\", \"nom_9\": \"ffac03704\", \"total_measure\": 2515477, \"share_within_group\": 0.04322928993718237}, {\"ord_0\": \"3\", \"nom_9\": \"c307a2484\", \"total_measure\": 2493816, \"share_within_group\": 0.04285703861096102}, {\"ord_0\": \"2\", \"nom_9\": \"263bed53b\", \"total_measure\": 4081754, \"share_within_group\": 0.04099905885186952}, {\"ord_0\": \"3\", \"nom_9\": \"a6fb9d55e\", \"total_measure\": 2330189, \"share_within_group\": 0.040045055426637985}, {\"ord_0\": \"3\", \"nom_9\": \"86c140ea6\", \"total_measure\": 2321013, \"share_within_group\": 0.039887362883846464}, {\"ord_0\": \"3\", \"nom_9\": \"191fb13ac\", \"total_measure\": 2308439, \"share_within_group\": 0.039671274606485896}, {\"ord_0\": \"3\", \"nom_9\": \"7e3136a87\", \"total_measure\": 2307510, \"share_within_group\": 0.03965530943950101}, {\"ord_0\": \"2\", \"nom_9\": \"28248c941\", \"total_measure\": 3806201, \"share_within_group\": 0.03823127479045641}, {\"ord_0\": \"3\", \"nom_9\": \"667b8da69\", \"total_measure\": 2181106, \"share_within_group\": 0.037483015610052524}, {\"ord_0\": \"3\", \"nom_9\": \"508fd7e0b\", \"total_measure\": 2179835, \"share_within_group\": 0.037461173061895586}, {\"ord_0\": \"3\", \"nom_9\": \"38039d3a8\", \"total_measure\": 2175024, \"share_within_group\": 0.037378494463010455}, {\"ord_0\": \"3\", \"nom_9\": \"f27970f59\", \"total_measure\": 2171282, \"share_within_group\": 0.03731418697661923}, {\"ord_0\": \"3\", \"nom_9\": \"abfdb0ce6\", \"total_measure\": 2139890, \"share_within_group\": 0.03677470525219558}, {\"ord_0\": \"3\", \"nom_9\": \"b043b3d84\", \"total_measure\": 2135894, \"share_within_group\": 0.03670603269323798}, {\"ord_0\": \"3\", \"nom_9\": \"b2afd76a3\", \"total_measure\": 2124640, \"share_within_group\": 0.036512629044962504}, {\"ord_0\": \"3\", \"nom_9\": \"46ce8acaf\", \"total_measure\": 2123392, \"share_within_group\": 0.03649118175928205}, {\"ord_0\": \"3\", \"nom_9\": \"04307aa3f\", \"total_measure\": 2119043, \"share_within_group\": 0.0364164427805767}, {\"ord_0\": \"3\", \"nom_9\": \"a2cb3d08e\", \"total_measure\": 2118155, \"share_within_group\": 0.03640118221191946}, {\"ord_0\": \"3\", \"nom_9\": \"2b64bdc73\", \"total_measure\": 2076929, \"share_within_group\": 0.03569270000081187}, {\"ord_0\": \"3\", \"nom_9\": \"b664ad637\", \"total_measure\": 2076884, \"share_within_group\": 0.03569192666118397}, {\"ord_0\": \"3\", \"nom_9\": \"522a98b1a\", \"total_measure\": 2060591, \"share_within_group\": 0.03541192615990866}, {\"ord_0\": \"3\", \"nom_9\": \"0b29c5ad9\", \"total_measure\": 2058919, \"share_within_group\": 0.03538319229640088}, {\"ord_0\": \"3\", \"nom_9\": \"248857e80\", \"total_measure\": 2054085, \"share_within_group\": 0.03530011843503926}, {\"ord_0\": \"3\", \"nom_9\": \"d756c94be\", \"total_measure\": 2016700, \"share_within_group\": 0.03465764505750427}, {\"ord_0\": \"3\", \"nom_9\": \"d1cddf499\", \"total_measure\": 2013409, \"share_within_group\": 0.034601088152717126}, {\"ord_0\": \"3\", \"nom_9\": \"588be2e5c\", \"total_measure\": 2010821, \"share_within_group\": 0.034556612531450294}, {\"ord_0\": \"3\", \"nom_9\": \"0f6d37a47\", \"total_measure\": 2007990, \"share_within_group\": 0.034507960876192796}, {\"ord_0\": \"2\", \"nom_9\": \"97616a1ac\", \"total_measure\": 3419685, \"share_within_group\": 0.03434892611604115}, {\"ord_0\": \"2\", \"nom_9\": \"ae709c39d\", \"total_measure\": 3372532, \"share_within_group\": 0.03387529918456948}, {\"ord_0\": \"3\", \"nom_9\": \"e686614cf\", \"total_measure\": 1965548, \"share_within_group\": 0.03377858130980682}, {\"ord_0\": \"3\", \"nom_9\": \"1c8536f9d\", \"total_measure\": 1958964, \"share_within_group\": 0.03366543312958239}, {\"ord_0\": \"2\", \"nom_9\": \"70d5396ce\", \"total_measure\": 3342530, \"share_within_group\": 0.03357394497173015}, {\"ord_0\": \"3\", \"nom_9\": \"96e49fac5\", \"total_measure\": 1947743, \"share_within_group\": 0.03347259659703404}, {\"ord_0\": \"2\", \"nom_9\": \"f43b6639b\", \"total_measure\": 3326257, \"share_within_group\": 0.03341049129845722}, {\"ord_0\": \"2\", \"nom_9\": \"de2540b1c\", \"total_measure\": 3325212, \"share_within_group\": 0.03339999482647478}, {\"ord_0\": \"3\", \"nom_9\": \"598386caa\", \"total_measure\": 1943371, \"share_within_group\": 0.033397462355852205}, {\"ord_0\": \"2\", \"nom_9\": \"3407c699c\", \"total_measure\": 3314234, \"share_within_group\": 0.033289726626069806}, {\"ord_0\": \"3\", \"nom_9\": \"63e0ea77c\", \"total_measure\": 1936229, \"share_within_group\": 0.0332747247642418}, {\"ord_0\": \"3\", \"nom_9\": \"76c405d4f\", \"total_measure\": 1931347, \"share_within_group\": 0.03319082600727709}, {\"ord_0\": \"3\", \"nom_9\": \"cc7de29ab\", \"total_measure\": 1930969, \"share_within_group\": 0.03318432995440272}, {\"ord_0\": \"3\", \"nom_9\": \"3b9e7739c\", \"total_measure\": 1930958, \"share_within_group\": 0.03318414091582701}, {\"ord_0\": \"2\", \"nom_9\": \"3e1d307ac\", \"total_measure\": 3303523, \"share_within_group\": 0.033182140299367516}, {\"ord_0\": \"3\", \"nom_9\": \"da18c492b\", \"total_measure\": 1929504, \"share_within_group\": 0.033159153453183286}, {\"ord_0\": \"3\", \"nom_9\": \"9b8b27e9c\", \"total_measure\": 1926269, \"share_within_group\": 0.033103558926599747}, {\"ord_0\": \"3\", \"nom_9\": \"6fb639b61\", \"total_measure\": 1926178, \"share_within_group\": 0.03310199506201888}, {\"ord_0\": \"3\", \"nom_9\": \"187aa5d31\", \"total_measure\": 1922093, \"share_within_group\": 0.03303179300913054}, {\"ord_0\": \"3\", \"nom_9\": \"680b129f9\", \"total_measure\": 1916300, \"share_within_group\": 0.0329322384210321}, {\"ord_0\": \"3\", \"nom_9\": \"6d63869ea\", \"total_measure\": 1913168, \"share_within_group\": 0.032878413982930205}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 411.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7aeb92520390608e9aee6c94adffe05cb5985ac5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:36:27.717012+00:00", + "ended_at": "2026-05-19T15:36:50.346666+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_446e2306b409ff8f", + "problem_id": "v2p_c14_fe2402f5dde1bd83", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, measure_col=id.", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "item_col": "nom_9", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_446e2306b409ff8f.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_446e2306b409ff8f", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1215, + "total_tokens": 17241, + "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": 22195.92, + "sql_execution_elapsed_ms_total": 411.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/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_d/c14/artifacts/v2q_c14_446e2306b409ff8f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92736276573c5894ba85401985f9d393c2e3066d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:49.931421+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22195.92, "started_at": "2026-05-19T15:36:27.733859+00:00", "ended_at": "2026-05-19T15:36:49.929810+00:00", "prompt_metrics": {"chars": 12088, "bytes_utf8": 12088, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 556, "bytes_utf8": 556, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 1215, "reasoning_output_tokens": 1034}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_0\\\",\\n \\\"nom_9\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_0\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"ord_0\\\", item_col=\\\"nom_9\\\", and measure_col=\\\"id\\\". \\\"id\\\" is cast to NUMERIC because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f627f5dd8c270b76953fdaddb584fa769be4fe05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_446e2306b409ff8f", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1215, + "total_tokens": 17241, + "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": 22195.92, + "sql_execution_elapsed_ms_total": 411.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_446e2306b409ff8f/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_d/c14/artifacts/v2q_c14_47ee09a8393a248c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8653f2715867338e6395cd263479c5de7759cedc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_4, measure_col=day. +Result preview: [{"ord_4": "A", "percentile_measure": 7.0}, {"ord_4": "B", "percentile_measure": 7.0}, {"ord_4": "C", "percentile_measure": 7.0}, {"ord_4": "D", "percentile_measure": 7.0}, {"ord_4": "E", "percentile_measure": 7.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..742b63b2df326540889f918f0f83f83551a9f547 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/generated_sql.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c14_47ee09a8393a248c +-- problem_id: v2p_c14_071e2692ab432798 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "ord_4" AS "group_col", + CAST("day" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "ord_4" + ORDER BY CAST("day" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "ord_4" + ) AS "n" + FROM "c14" + WHERE "ord_4" IS NOT NULL + AND "day" IS NOT NULL +), +"params" AS ( + SELECT DISTINCT + "group_col", + "n", + (1.0 + 0.95 * ("n" - 1)) AS "pos", + CAST((1.0 + 0.95 * ("n" - 1)) AS INTEGER) AS "lower_rn", + CAST((1.0 + 0.95 * ("n" - 1)) AS INTEGER) + (((1.0 + 0.95 * ("n" - 1)) > CAST((1.0 + 0.95 * ("n" - 1)) AS INTEGER))) AS "upper_rn" + FROM "ranked" + WHERE "n" >= 5 +), +"picked" AS ( + SELECT + "params"."group_col", + "params"."pos", + "params"."lower_rn", + "params"."upper_rn", + MAX(CASE WHEN "ranked"."rn" = "params"."lower_rn" THEN "ranked"."measure" END) AS "lower_val", + MAX(CASE WHEN "ranked"."rn" = "params"."upper_rn" THEN "ranked"."measure" END) AS "upper_val" + FROM "params" + JOIN "ranked" + ON "ranked"."group_col" = "params"."group_col" + GROUP BY + "params"."group_col", + "params"."pos", + "params"."lower_rn", + "params"."upper_rn" +) +SELECT + "group_col" AS "ord_4", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..793f543138d77bb3a5039d743e55df48fdd09ea6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"ord_4\" AS \"group_col\",\n CAST(\"day\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"ord_4\"\n ORDER BY CAST(\"day\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"ord_4\"\n ) AS \"n\"\n FROM \"c14\"\n WHERE \"ord_4\" IS NOT NULL\n AND \"day\" IS NOT NULL\n),\n\"params\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"n\",\n (1.0 + 0.95 * (\"n\" - 1)) AS \"pos\",\n CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) + (((1.0 + 0.95 * (\"n\" - 1)) > CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER))) AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"n\" >= 5\n),\n\"picked\" AS (\n SELECT\n \"params\".\"group_col\",\n \"params\".\"pos\",\n \"params\".\"lower_rn\",\n \"params\".\"upper_rn\",\n MAX(CASE WHEN \"ranked\".\"rn\" = \"params\".\"lower_rn\" THEN \"ranked\".\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN \"ranked\".\"rn\" = \"params\".\"upper_rn\" THEN \"ranked\".\"measure\" END) AS \"upper_val\"\n FROM \"params\"\n JOIN \"ranked\"\n ON \"ranked\".\"group_col\" = \"params\".\"group_col\"\n GROUP BY\n \"params\".\"group_col\",\n \"params\".\"pos\",\n \"params\".\"lower_rn\",\n \"params\".\"upper_rn\"\n)\nSELECT\n \"group_col\" AS \"ord_4\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"ord_4\\\" AS \\\"group_col\\\",\\n CAST(\\\"day\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ORDER BY CAST(\\\"day\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_4\\\" IS NOT NULL\\n AND \\\"day\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) + (((1.0 + 0.95 * (\\\"n\\\" - 1)) > CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER))) AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"params\\\".\\\"group_col\\\",\\n \\\"params\\\".\\\"pos\\\",\\n \\\"params\\\".\\\"lower_rn\\\",\\n \\\"params\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"params\\\".\\\"lower_rn\\\" THEN \\\"ranked\\\".\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"params\\\".\\\"upper_rn\\\" THEN \\\"ranked\\\".\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"params\\\"\\n JOIN \\\"ranked\\\"\\n ON \\\"ranked\\\".\\\"group_col\\\" = \\\"params\\\".\\\"group_col\\\"\\n GROUP BY\\n \\\"params\\\".\\\"group_col\\\",\\n \\\"params\\\".\\\"pos\\\",\\n \\\"params\\\".\\\"lower_rn\\\",\\n \\\"params\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"ord_4\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"ord_4\", \"percentile_measure\"], \"rows\": [{\"ord_4\": \"A\", \"percentile_measure\": 7.0}, {\"ord_4\": \"B\", \"percentile_measure\": 7.0}, {\"ord_4\": \"C\", \"percentile_measure\": 7.0}, {\"ord_4\": \"D\", \"percentile_measure\": 7.0}, {\"ord_4\": \"E\", \"percentile_measure\": 7.0}, {\"ord_4\": \"F\", \"percentile_measure\": 7.0}, {\"ord_4\": \"G\", \"percentile_measure\": 7.0}, {\"ord_4\": \"H\", \"percentile_measure\": 7.0}, {\"ord_4\": \"I\", \"percentile_measure\": 7.0}, {\"ord_4\": \"J\", \"percentile_measure\": 7.0}, {\"ord_4\": \"K\", \"percentile_measure\": 7.0}, {\"ord_4\": \"L\", \"percentile_measure\": 7.0}, {\"ord_4\": \"M\", \"percentile_measure\": 7.0}, {\"ord_4\": \"N\", \"percentile_measure\": 7.0}, {\"ord_4\": \"O\", \"percentile_measure\": 7.0}, {\"ord_4\": \"P\", \"percentile_measure\": 7.0}, {\"ord_4\": \"Q\", \"percentile_measure\": 7.0}, {\"ord_4\": \"R\", \"percentile_measure\": 7.0}, {\"ord_4\": \"S\", \"percentile_measure\": 7.0}, {\"ord_4\": \"T\", \"percentile_measure\": 7.0}, {\"ord_4\": \"U\", \"percentile_measure\": 7.0}, {\"ord_4\": \"V\", \"percentile_measure\": 7.0}, {\"ord_4\": \"W\", \"percentile_measure\": 7.0}, {\"ord_4\": \"X\", \"percentile_measure\": 7.0}, {\"ord_4\": \"Y\", \"percentile_measure\": 7.0}, {\"ord_4\": \"Z\", \"percentile_measure\": 7.0}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1192.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..193dcdacbc729fdac2e72c211e41be29f9a7964d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:55:18.053310+00:00", + "ended_at": "2026-05-19T15:56:12.407557+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_47ee09a8393a248c", + "problem_id": "v2p_c14_071e2692ab432798", + "dataset_id": "c14", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_4, measure_col=day.", + "bindings": { + "group_col": "ord_4", + "measure_col": "day", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_47ee09a8393a248c.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_47ee09a8393a248c", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3552, + "total_tokens": 19496, + "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": 53141.16, + "sql_execution_elapsed_ms_total": 1192.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/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_d/c14/artifacts/v2q_c14_47ee09a8393a248c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67ff39edaa546cc1b976a6539ca804174494c89d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:11.213135+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 53141.16, "started_at": "2026-05-19T15:55:18.069426+00:00", "ended_at": "2026-05-19T15:56:11.210608+00:00", "prompt_metrics": {"chars": 11857, "bytes_utf8": 11857, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 2006, "bytes_utf8": 2006, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 14720, "output_tokens": 3552, "reasoning_output_tokens": 2876}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"ord_4\\\" AS \\\"group_col\\\",\\n CAST(\\\"day\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ORDER BY CAST(\\\"day\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"ord_4\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_4\\\" IS NOT NULL\\n AND \\\"day\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) + (((1.0 + 0.95 * (\\\"n\\\" - 1)) > CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER))) AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"params\\\".\\\"group_col\\\",\\n \\\"params\\\".\\\"pos\\\",\\n \\\"params\\\".\\\"lower_rn\\\",\\n \\\"params\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"params\\\".\\\"lower_rn\\\" THEN \\\"ran"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a5b97e44b8e2525ec57efea37c957973c310f0dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_47ee09a8393a248c", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3552, + "total_tokens": 19496, + "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": 53141.16, + "sql_execution_elapsed_ms_total": 1192.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_47ee09a8393a248c/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_d/c14/artifacts/v2q_c14_517eedbd39273b73/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a54ca2f501a7c0380845888a8a1df65f75f69c58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_4, measure_col=id. +Result preview: [{"bin_4": "Y", "total_measure": 28742818367}, {"bin_4": "N", "total_measure": 16257031633}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..42757f6aacdf562c53c2456b0d1d284c2759c5ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_517eedbd39273b73 +-- problem_id: v2p_c14_1640f0932ff07a98 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_4", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "c14" +GROUP BY "bin_4" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1bbfcdec18611c9240c7e00caea9fe60bc7eb5bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_4\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"bin_4\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_4\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"bin_4\", \"total_measure\"], \"rows\": [{\"bin_4\": \"Y\", \"total_measure\": 28742818367}, {\"bin_4\": \"N\", \"total_measure\": 16257031633}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 143.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..23a528430ae494bee9b24e74b9034d0ebe764d21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:29:38.662365+00:00", + "ended_at": "2026-05-19T15:29:52.596366+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_517eedbd39273b73", + "problem_id": "v2p_c14_1640f0932ff07a98", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_4, measure_col=id.", + "bindings": { + "group_col": "bin_4", + "measure_col": "id", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_517eedbd39273b73.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_517eedbd39273b73", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 16468, + "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": 13772.47, + "sql_execution_elapsed_ms_total": 143.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/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_d/c14/artifacts/v2q_c14_517eedbd39273b73/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6422dabdb3a25b365484b2028c96e205b22ba598 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:52.451330+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13772.47, "started_at": "2026-05-19T15:29:38.678075+00:00", "ended_at": "2026-05-19T15:29:52.450572+00:00", "prompt_metrics": {"chars": 11681, "bytes_utf8": 11681, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 562, "reasoning_output_tokens": 447}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_4\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"bin_4\\\" and measure_col=\\\"id\\\". \\\"id\\\" is stored as TEXT in the schema, so it is cast to NUMERIC for a SQLite-compatible sum.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f98162f925e996d6f3d04ff6ace46170a530e775 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_517eedbd39273b73", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 16468, + "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": 13772.47, + "sql_execution_elapsed_ms_total": 143.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_517eedbd39273b73/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_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d06f678c386c357047387e74518387e6073f6d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:14.674311+00:00", + "ended_at": "2026-05-19T16:12:22.020947+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_51eb68fcf1d20d93", + "problem_id": "v2p_c14_9c0691d2e3a82759", + "dataset_id": "c14", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_2, measure_col=day.", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 3.64, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3882f05dafec19d18b7c3a3fbe2733577d9aa154 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_51eb68fcf1d20d93/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:18.235109+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3537.31, "started_at": "2026-05-19T16:12:14.697085+00:00", "ended_at": "2026-05-19T16:12:18.234423+00:00", "prompt_metrics": {"chars": 11764, "bytes_utf8": 11764, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-5ee3-7f73-9719-28325c5251c5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:12:22.020827+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2783.22, "started_at": "2026-05-19T16:12:19.236580+00:00", "ended_at": "2026-05-19T16:12:22.019831+00:00", "prompt_metrics": {"chars": 11764, "bytes_utf8": 11764, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-7097-7452-a659-89104cdc4105\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5a21b64a87fca00d4e942e9327f9d05219d1825 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "g", "support": 36405, "support_share": 0.12135, "support_rank": 1}, {"value_label": "l", "support": 36124, "support_share": 0.12041333333333333, "support_rank": 2}, {"value_label": "a", "support": 35276, "support_share": 0.11758666666666667, "support_rank": 3}, {"value_label": "k", "support": 28619, "support_share": 0.09539666666666667, "support_rank": 4}, {"value_label": "i", "support": 28048, "support_share": 0.09349333333333333, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3e166b3fd537ee24501a04ced1981ea6dec8cb17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c14_531a09efbb3e1528 +-- problem_id: v2p_c14_778fc87252e72d74 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "ord_3" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "ord_3" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77f6705580c7eb06c0d43fe32873bbaceb8c100f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_531a09efbb3e1528\n-- problem_id: v2p_c14_778fc87252e72d74\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"ord_3\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"ord_3\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_531a09efbb3e1528\\n-- problem_id: v2p_c14_778fc87252e72d74\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"ord_3\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"ord_3\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"g\", \"support\": 36405, \"support_share\": 0.12135, \"support_rank\": 1}, {\"value_label\": \"l\", \"support\": 36124, \"support_share\": 0.12041333333333333, \"support_rank\": 2}, {\"value_label\": \"a\", \"support\": 35276, \"support_share\": 0.11758666666666667, \"support_rank\": 3}, {\"value_label\": \"k\", \"support\": 28619, \"support_share\": 0.09539666666666667, \"support_rank\": 4}, {\"value_label\": \"i\", \"support\": 28048, \"support_share\": 0.09349333333333333, \"support_rank\": 5}, {\"value_label\": \"h\", \"support\": 24740, \"support_share\": 0.08246666666666666, \"support_rank\": 6}, {\"value_label\": \"j\", \"support\": 24647, \"support_share\": 0.08215666666666667, \"support_rank\": 7}, {\"value_label\": \"f\", \"support\": 22384, \"support_share\": 0.07461333333333334, \"support_rank\": 8}, {\"value_label\": \"e\", \"support\": 21331, \"support_share\": 0.07110333333333334, \"support_rank\": 9}, {\"value_label\": \"b\", \"support\": 11916, \"support_share\": 0.03972, \"support_rank\": 10}, {\"value_label\": \"o\", \"support\": 11320, \"support_share\": 0.037733333333333334, \"support_rank\": 11}, {\"value_label\": \"d\", \"support\": 7904, \"support_share\": 0.026346666666666668, \"support_rank\": 12}, {\"value_label\": \"c\", \"support\": 6944, \"support_share\": 0.023146666666666666, \"support_rank\": 13}, {\"value_label\": \"n\", \"support\": 4014, \"support_share\": 0.01338, \"support_rank\": 14}, {\"value_label\": \"m\", \"support\": 328, \"support_share\": 0.0010933333333333333, \"support_rank\": 15}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 160.86}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..83009fdfb5fa2092ea133f5c4a0b6b2a4353d663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:56.570921+00:00", + "ended_at": "2026-05-19T16:12:56.733329+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_531a09efbb3e1528", + "problem_id": "v2p_c14_778fc87252e72d74", + "dataset_id": "c14", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=ord_3.", + "bindings": { + "group_col": "ord_3" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_531a09efbb3e1528.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_531a09efbb3e1528/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e0d7cee4aa906e4eaab3ac624c634b0060465db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56a709d0e0f409fa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:52.179124+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 43000.56, "started_at": "2026-05-19T16:01:09.177681+00:00", "ended_at": "2026-05-19T16:01:52.178264+00:00", "prompt_metrics": {"chars": 11859, "bytes_utf8": 11859, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1839, "bytes_utf8": 1839, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 12032, "output_tokens": 2707, "reasoning_output_tokens": 2070}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"bin_1\\\",\\n CAST(\\\"month\\\" AS REAL) AS \\\"month_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_1\\\"\\n ORDER BY CAST(\\\"month\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"bin_1\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"bin_1\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"target_pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"floor_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"ceil_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"bin_1\\\", \\\"cnt\\\"\\n),\\n\\\"points\\\" AS (\\n SELECT\\n b.\\\"bin_1\\\",\\n b.\\\"cnt\\\",\\n b.\\\"target_pos\\\",\\n b.\\\"floor_rn\\\",\\n b.\\\"ceil_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"floor_rn\\\" THEN o.\\\"month_value\\\" END"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8396f85fbc80b8149efaf5411d5cec3049ced8af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, measure_col=id. +Result preview: [{"ord_4": "M", "nom_5": "72f8028dc", "total_measure": 938468.0, "share_within_group": 4.00140465391381}, {"ord_4": "M", "nom_5": "06eeaf0aa", "total_measure": 889675.0, "share_within_group": 3.7933628908718986}, {"ord_4": "M", "nom_5": "475e79160", "total_measure": 810905.0, "share_within_group": 3.4575063197487585}, {"ord_4": "M", "nom_5": "778fdbe56", "total_measure": 745814.0, "share_within_group": 3.1799737556891383}, {"ord_4": "M", "nom_5": "83b38aa6b", "total_measure": 612419.0, "share_within_group": 2.611209158698263}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8e88994721923dd1242959ded696fb004853981f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_56f9e3539cf0ac27 +-- problem_id: v2p_c14_14448284caf4df39 +-- realization_mode: agent +-- source_kind: agent +SELECT + "ord_4", + "nom_5", + SUM(CAST("id" AS REAL)) AS "total_measure", + SUM(CAST("id" AS REAL)) * 100.0 / SUM(SUM(CAST("id" AS REAL))) OVER (PARTITION BY "ord_4") AS "share_within_group" +FROM "c14" +GROUP BY "ord_4", "nom_5" +ORDER BY "share_within_group" DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c2b951eada330f0f6c384db40965e0908fe5458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"ord_4\",\n \"nom_5\",\n SUM(CAST(\"id\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"id\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"id\" AS REAL))) OVER (PARTITION BY \"ord_4\") AS \"share_within_group\"\nFROM \"c14\"\nGROUP BY \"ord_4\", \"nom_5\"\nORDER BY \"share_within_group\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"ord_4\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\", \"columns\": [\"ord_4\", \"nom_5\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_4\": \"M\", \"nom_5\": \"72f8028dc\", \"total_measure\": 938468.0, \"share_within_group\": 4.00140465391381}, {\"ord_4\": \"M\", \"nom_5\": \"06eeaf0aa\", \"total_measure\": 889675.0, \"share_within_group\": 3.7933628908718986}, {\"ord_4\": \"M\", \"nom_5\": \"475e79160\", \"total_measure\": 810905.0, \"share_within_group\": 3.4575063197487585}, {\"ord_4\": \"M\", \"nom_5\": \"778fdbe56\", \"total_measure\": 745814.0, \"share_within_group\": 3.1799737556891383}, {\"ord_4\": \"M\", \"nom_5\": \"83b38aa6b\", \"total_measure\": 612419.0, \"share_within_group\": 2.611209158698263}, {\"ord_4\": \"M\", \"nom_5\": \"640e1fdd5\", \"total_measure\": 499856.0, \"share_within_group\": 2.1312672618424298}, {\"ord_4\": \"M\", \"nom_5\": \"05950689f\", \"total_measure\": 485055.0, \"share_within_group\": 2.068159313268181}, {\"ord_4\": \"M\", \"nom_5\": \"eb69430d6\", \"total_measure\": 472378.0, \"share_within_group\": 2.0141075962169173}, {\"ord_4\": \"M\", \"nom_5\": \"de04b8750\", \"total_measure\": 470310.0, \"share_within_group\": 2.0052901353932193}, {\"ord_4\": \"M\", \"nom_5\": \"4464569ee\", \"total_measure\": 468551.0, \"share_within_group\": 1.997790177178092}, {\"ord_4\": \"M\", \"nom_5\": \"e6f45aa26\", \"total_measure\": 461319.0, \"share_within_group\": 1.9669546468700743}, {\"ord_4\": \"M\", \"nom_5\": \"b97f51ac4\", \"total_measure\": 404269.0, \"share_within_group\": 1.723706996970682}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 322.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..58face17a0fa0bdcdfb115aa6f737b969a58e4c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:38:26.634508+00:00", + "ended_at": "2026-05-19T15:38:46.184341+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_56f9e3539cf0ac27", + "problem_id": "v2p_c14_14448284caf4df39", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, measure_col=id.", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "item_col": "nom_5", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_56f9e3539cf0ac27.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_56f9e3539cf0ac27", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1088, + "total_tokens": 17114, + "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": 19207.21, + "sql_execution_elapsed_ms_total": 322.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/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_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c768c0e558bcb7f9e6094aa9e3ed05fc13df29c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:45.859654+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19207.21, "started_at": "2026-05-19T15:38:26.651693+00:00", "ended_at": "2026-05-19T15:38:45.858932+00:00", "prompt_metrics": {"chars": 12088, "bytes_utf8": 12088, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 533, "bytes_utf8": 533, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 1088, "reasoning_output_tokens": 909}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"ord_4\\\",\\n \\\"nom_5\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"id\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS REAL))) OVER (PARTITION BY \\\"ord_4\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\",\"notes\":\"Uses the requested template with group_col=\\\"ord_4\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". \\\"id\\\" is cast from TEXT to REAL so it can be summed in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5b766ab5df5ee999da245eef72a5660445f5fe2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_56f9e3539cf0ac27", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 1088, + "total_tokens": 17114, + "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": 19207.21, + "sql_execution_elapsed_ms_total": 322.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_56f9e3539cf0ac27/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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f70af4e88e98e13c3af4961fd722f62a86ff13d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11937, "bytes_utf8": 11937, "lines": 399, "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": 11937, "bytes_utf8": 11937, "lines": 399, "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": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15973, "cached_input_tokens": 12032, "output_tokens": 299, "reasoning_output_tokens": 168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..118970c06417c75a1494df41b22894642a028a57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_5a1a2821a056660b", + "api_calls": 0, + "input_tokens": 15973, + "cached_input_tokens": 12032, + "output_tokens": 299, + "total_tokens": 16272, + "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": 12568.71, + "sql_execution_elapsed_ms_total": 131.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..858c4eff3eaa94d45f9e5b0139bd48d52e44f0e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/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": "2026-05-19T16:05:55.679782+00:00", + "ended_at": "2026-05-19T16:05:58.968277+00:00", + "elapsed_ms": 3288.46, + "returncode": 1, + "prompt_metrics": { + "chars": 11937, + "bytes_utf8": 11937, + "lines": 399, + "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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..effeaa93b403f8c53744713d2a7adf36af7312d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/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": "2026-05-19T16:05:59.970777+00:00", + "ended_at": "2026-05-19T16:06:09.251068+00:00", + "elapsed_ms": 9280.25, + "prompt_metrics": { + "chars": 11937, + "bytes_utf8": 11937, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 807, + "bytes_utf8": 807, + "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": 456, + "bytes_utf8": 456, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15973, + "cached_input_tokens": 12032, + "output_tokens": 299, + "reasoning_output_tokens": 168 + } + }, + "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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f98b63dcd5200729bb7ae7d19408dc75839e1577 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "1", + "positive_value": "1", + "negative_value": "2", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f98b63dcd5200729bb7ae7d19408dc75839e1577 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_0, condition_col=ord_0.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_0", + "condition_col": "ord_0", + "condition_value": "1", + "positive_value": "1", + "negative_value": "2", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d95e93d91a6b9825693e8b73b359812cca59a58e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-967e-7992-b36f-da8521a42b26"} +{"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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cda9a74edff9cd70450bc05f6fd295cde0112c27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-967e-7992-b36f-da8521a42b26"} +{"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_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5aaff403731835a557d050051d8fc73c2f4a1fb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-a73b-7c31-8551-f4054044a0fd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ord_0\\\",\\n AVG(CASE WHEN \\\"ord_0\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided template with both group_col and condition_col bound to \\\"ord_0\\\" and condition_value set to '1'. Because the grouping column and condition column are the same, the rate is 1 for group '1' and 0 for other groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15973,"cached_input_tokens":12032,"output_tokens":299,"reasoning_output_tokens":168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..74557c2ca898db38874b55deae6674a5d789b7aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"ord_0\",\n AVG(CASE WHEN \"ord_0\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c14\"\nGROUP BY \"ord_0\"\nORDER BY condition_rate DESC;","notes":"Applied the provided template with both group_col and condition_col bound to \"ord_0\" and condition_value set to '1'. Because the grouping column and condition column are the same, the rate is 1 for group '1' and 0 for other groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5a1a2821a056660b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..525eaa45ff350b3058abe4021659f78ed89028b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11857, "bytes_utf8": 11857, "lines": 396, "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": 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"/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/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_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e2ec7efb837dcc038f665443bd5dce068bc4ccfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/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": "2026-05-19T16:00:02.219629+00:00", + "ended_at": "2026-05-19T16:00:05.394207+00:00", + "elapsed_ms": 3174.54, + "returncode": 1, + "prompt_metrics": { + "chars": 11857, + "bytes_utf8": 11857, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b876f845bac3200b9c039c210156a46024108aec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/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": "2026-05-19T16:00:06.396300+00:00", + "ended_at": "2026-05-19T16:00:28.482755+00:00", + "elapsed_ms": 22086.41, + "prompt_metrics": { + "chars": 11857, + "bytes_utf8": 11857, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2650, + "bytes_utf8": 2650, + "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": 1935, + "bytes_utf8": 1935, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 1187, + "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_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e888762c7ee423f1d2755ff20c9d0ca3896104e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_0, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_0", + "measure_col": "day", + "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 {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_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e888762c7ee423f1d2755ff20c9d0ca3896104e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_0, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_0", + "measure_col": "day", + "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 {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_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6baa7442b909c6b38bc4987e54e714420e2e332c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-31c8-71f2-94a5-fb95368f6d22"} +{"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_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fb29aa27adeaa83c468f7a3df27304b60d4a09e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-31c8-71f2-94a5-fb95368f6d22"} +{"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_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9d33281b3fdba7aec6a3b170c073c1e6608f66c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-4219-72e2-986e-43807b5f0a0a"} +{"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 \\\"bin_0\\\",\\n CAST(\\\"day\\\" AS REAL) AS \\\"day_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_0\\\"\\n ORDER BY CAST(\\\"day\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"bin_0\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_0\\\" IS NOT NULL\\n AND \\\"day\\\" IS NOT NULL\\n AND \\\"target\\\" = '1'\\n),\\n\\\"pos\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n \\\"day_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (0.95 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"p\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"bin_0\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n MAX(\\\"p\\\") AS \\\"p\\\",\\n CAST(MAX(\\\"p\\\" - CAST(\\\"p\\\" AS INTEGER) = 0) AS INTEGER) AS \\\"is_exact\\\",\\n CAST(MAX(CAST(\\\"p\\\" AS INTEGER)) AS INTEGER) AS \\\"lo_rn\\\",\\n CAST(MAX(CASE\\n WHEN \\\"p\\\" - CAST(\\\"p\\\" AS INTEGER) = 0 THEN CAST(\\\"p\\\" AS INTEGER)\\n ELSE CAST(\\\"p\\\" AS INTEGER) + 1\\n END) AS INTEGER) AS \\\"hi_rn\\\"\\n FROM \\\"pos\\\"\\n GROUP BY \\\"bin_0\\\"\\n)\\nSELECT\\n \\\"b\\\".\\\"bin_0\\\",\\n CASE\\n WHEN \\\"b\\\".\\\"is_exact\\\" = 1 THEN MAX(CASE WHEN \\\"p\\\".\\\"rn\\\" = \\\"b\\\".\\\"lo_rn\\\" THEN \\\"p\\\".\\\"day_value\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"p\\\".\\\"rn\\\" = \\\"b\\\".\\\"lo_rn\\\" THEN \\\"p\\\".\\\"day_value\\\" END) * (\\\"b\\\".\\\"hi_rn\\\" - \\\"b\\\".\\\"p\\\") +\\n MAX(CASE WHEN \\\"p\\\".\\\"rn\\\" = \\\"b\\\".\\\"hi_rn\\\" THEN \\\"p\\\".\\\"day_value\\\" END) * (\\\"b\\\".\\\"p\\\" - \\\"b\\\".\\\"lo_rn\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS \\\"b\\\"\\nJOIN \\\"pos\\\" AS \\\"p\\\"\\n ON \\\"p\\\".\\\"bin_0\\\" = \\\"b\\\".\\\"bin_0\\\"\\nGROUP BY \\\"b\\\".\\\"bin_0\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible replacement for PERCENTILE_CONT(0.95) using window functions and linear interpolation. Because the prompt specified semantic role focused_target_view, the query filters to the positive target class with \\\"target\\\" = '1' before computing the grouped 95th percentile of \\\"day\\\" by \\\"bin_0\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":12032,"output_tokens":1187,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b84fa0ba9f6dde30a9b65a4d1e006f660302c40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"bin_0\",\n CAST(\"day\" AS REAL) AS \"day_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"bin_0\"\n ORDER BY CAST(\"day\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"bin_0\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"bin_0\" IS NOT NULL\n AND \"day\" IS NOT NULL\n AND \"target\" = '1'\n),\n\"pos\" AS (\n SELECT\n \"bin_0\",\n \"day_value\",\n \"rn\",\n \"cnt\",\n (0.95 * (\"cnt\" - 1) + 1.0) AS \"p\"\n FROM \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n \"bin_0\",\n MAX(\"cnt\") AS \"cnt\",\n MAX(\"p\") AS \"p\",\n CAST(MAX(\"p\" - CAST(\"p\" AS INTEGER) = 0) AS INTEGER) AS \"is_exact\",\n CAST(MAX(CAST(\"p\" AS INTEGER)) AS INTEGER) AS \"lo_rn\",\n CAST(MAX(CASE\n WHEN \"p\" - CAST(\"p\" AS INTEGER) = 0 THEN CAST(\"p\" AS INTEGER)\n ELSE CAST(\"p\" AS INTEGER) + 1\n END) AS INTEGER) AS \"hi_rn\"\n FROM \"pos\"\n GROUP BY \"bin_0\"\n)\nSELECT\n \"b\".\"bin_0\",\n CASE\n WHEN \"b\".\"is_exact\" = 1 THEN MAX(CASE WHEN \"p\".\"rn\" = \"b\".\"lo_rn\" THEN \"p\".\"day_value\" END)\n ELSE\n MAX(CASE WHEN \"p\".\"rn\" = \"b\".\"lo_rn\" THEN \"p\".\"day_value\" END) * (\"b\".\"hi_rn\" - \"b\".\"p\") +\n MAX(CASE WHEN \"p\".\"rn\" = \"b\".\"hi_rn\" THEN \"p\".\"day_value\" END) * (\"b\".\"p\" - \"b\".\"lo_rn\")\n END AS \"percentile_measure\"\nFROM \"bounds\" AS \"b\"\nJOIN \"pos\" AS \"p\"\n ON \"p\".\"bin_0\" = \"b\".\"bin_0\"\nGROUP BY \"b\".\"bin_0\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible replacement for PERCENTILE_CONT(0.95) using window functions and linear interpolation. Because the prompt specified semantic role focused_target_view, the query filters to the positive target class with \"target\" = '1' before computing the grouped 95th percentile of \"day\" by \"bin_0\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5b2ebf0d34be123a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..307606f07dfd64805575cb869621c4dad6acaf62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=nom_2, condition_col=nom_2. +Result preview: [{"nom_2": "Cat", "condition_rate": 1.0}, {"nom_2": "Snake", "condition_rate": 0.0}, {"nom_2": "Lion", "condition_rate": 0.0}, {"nom_2": "Hamster", "condition_rate": 0.0}, {"nom_2": "Dog", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4c087764045551916fb15fb734b11ff0d4a56585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c14_5d5c7c46f952be7d +-- problem_id: v2p_c14_ef5bdf84bc583264 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_2", + AVG(CASE WHEN "nom_2" = 'Cat' THEN 1 ELSE 0 END) AS condition_rate +FROM "c14" +GROUP BY "nom_2" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ea6c53a5a47e583de9d4285e4151b28f5f70b5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_2\",\n AVG(CASE WHEN \"nom_2\" = 'Cat' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c14\"\nGROUP BY \"nom_2\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_2\\\",\\n AVG(CASE WHEN \\\"nom_2\\\" = 'Cat' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"nom_2\", \"condition_rate\"], \"rows\": [{\"nom_2\": \"Cat\", \"condition_rate\": 1.0}, {\"nom_2\": \"Snake\", \"condition_rate\": 0.0}, {\"nom_2\": \"Lion\", \"condition_rate\": 0.0}, {\"nom_2\": \"Hamster\", \"condition_rate\": 0.0}, {\"nom_2\": \"Dog\", \"condition_rate\": 0.0}, {\"nom_2\": \"Axolotl\", \"condition_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 171.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1fdf9408da4d12d6151a232b2eb337b0250745d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:04:43.789708+00:00", + "ended_at": "2026-05-19T16:04:57.349804+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_5d5c7c46f952be7d", + "problem_id": "v2p_c14_ef5bdf84bc583264", + "dataset_id": "c14", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=nom_2, condition_col=nom_2.", + "bindings": { + "group_col": "nom_2", + "condition_col": "nom_2", + "condition_value": "Cat", + "positive_value": "Cat", + "negative_value": "Dog", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_5d5c7c46f952be7d.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_5d5c7c46f952be7d", + "api_calls": 0, + "input_tokens": 15971, + "cached_input_tokens": 12032, + "output_tokens": 430, + "total_tokens": 16401, + "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": 12352.85, + "sql_execution_elapsed_ms_total": 171.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/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_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f20880be31aa6830b78cd6b0dcfaf7ac0eedf1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:47.000983+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3180.36, "started_at": "2026-05-19T16:04:43.819013+00:00", "ended_at": "2026-05-19T16:04:46.999427+00:00", "prompt_metrics": {"chars": 11924, "bytes_utf8": 11924, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-7da9-78d0-b159-c68f712944e9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:04:57.175442+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9172.49, "started_at": "2026-05-19T16:04:48.002086+00:00", "ended_at": "2026-05-19T16:04:57.174611+00:00", "prompt_metrics": {"chars": 11924, "bytes_utf8": 11924, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15971, "cached_input_tokens": 12032, "output_tokens": 430, "reasoning_output_tokens": 324}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_2\\\",\\n AVG(CASE WHEN \\\"nom_2\\\" = 'Cat' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Used the provided Grouped Condition Rate template with both group_col and condition_col bound to \\\"nom_2\\\" and condition_value 'Cat'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..68b08225ca3208eb5172ffae736a3374952cc018 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_5d5c7c46f952be7d", + "api_calls": 0, + "input_tokens": 15971, + "cached_input_tokens": 12032, + "output_tokens": 430, + "total_tokens": 16401, + "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": 12352.85, + "sql_execution_elapsed_ms_total": 171.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5d5c7c46f952be7d/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_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d0de312ccc8e92476f30222069d2846412529b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-8776-7e62-9578-fa395a02826c"} +{"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 1994156, Requested 16541. Please try again in 320ms. 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 \\\"nom_2\\\", SUM(CAST(\\\"month\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the requested grouped numeric sum template with group_col=\\\"nom_2\\\" and measure_col=\\\"month\\\". \\\"month\\\" is cast to INTEGER because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":620,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5eb1df9284f04bc9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 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"bytes_utf8": 402, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16003, "cached_input_tokens": 12032, "output_tokens": 247, "reasoning_output_tokens": 124}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..36de5be97e8b093786550c391e97e9f059a2000d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_5f669770a5f96e36", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 16250, + "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": 13307.92, + "sql_execution_elapsed_ms_total": 119.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/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_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..111bf3eb8357538625b1522b91718f25dae4d50b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/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": "2026-05-19T15:44:23.947138+00:00", + "ended_at": "2026-05-19T15:44:37.255083+00:00", + "elapsed_ms": 13307.92, + "prompt_metrics": { + "chars": 11987, + "bytes_utf8": 11987, + "lines": 400, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1102, + "bytes_utf8": 1102, + "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": 402, + "bytes_utf8": 402, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16003, + "cached_input_tokens": 12032, + "output_tokens": 247, + "reasoning_output_tokens": 124 + } + }, + "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_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d47637fedb140279292be45e454ca77194507f07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,400 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=nom_4.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "bin_3", + "group_col_2": "nom_4", + "predicate_col": "bin_2", + "predicate_op": "=", + "predicate_value": "1", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..777130ddf123a8e7ea64ebe9c100c3888d554b51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e8-e0a7-7882-b08e-5d60008dc370"} +{"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 16638. Please try again in 499ms. 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 \\\"bin_3\\\", \\\"nom_4\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_2\\\" = '1'\\nGROUP BY \\\"bin_3\\\", \\\"nom_4\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"nom_4\\\", and predicate \\\"bin_2\\\" = '1' using SQLite-compatible quoted identifiers.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16003,"cached_input_tokens":12032,"output_tokens":247,"reasoning_output_tokens":124}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca7f99d98d38957b3b5fe8fc2609146e39a9c96e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"nom_4\", COUNT(*) AS row_count\nFROM \"c14\"\nWHERE \"bin_2\" = '1'\nGROUP BY \"bin_3\", \"nom_4\"\nORDER BY row_count DESC;","notes":"Applied the provided filtered two-dimensional group count template with group_col=\"bin_3\", group_col_2=\"nom_4\", and predicate \"bin_2\" = '1' using SQLite-compatible quoted identifiers."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_5f669770a5f96e36/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..10ed518df2483adb92a1400f4d4354fdecbc4911 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11859, "bytes_utf8": 11859, "lines": 396, "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": 1768, "bytes_utf8": 1768, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15948, "cached_input_tokens": 12032, "output_tokens": 1103, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0e1d9fa24a9ef44e35bd412a1b441b2ed99019e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6182376c859cb06b", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 12032, + "output_tokens": 1103, + "total_tokens": 17051, + "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": 20519.0, + "sql_execution_elapsed_ms_total": 990.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/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_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a0284ab85ed3cb86b4a8334fda15561c37efb0cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/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": "2026-05-19T16:03:32.793353+00:00", + "ended_at": "2026-05-19T16:03:53.312377+00:00", + "elapsed_ms": 20519.0, + "prompt_metrics": { + "chars": 11859, + "bytes_utf8": 11859, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2348, + "bytes_utf8": 2348, + "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": 1768, + "bytes_utf8": 1768, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15948, + "cached_input_tokens": 12032, + "output_tokens": 1103, + "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_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d661cd64ab0c1540884f20c15b4fa49809d3ddf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_3, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_3", + "measure_col": "ord_0", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1aba300d764fcfec188b2bf5262c157b773d6bb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-685c-76a3-b8d7-246c575c7e17"} +{"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 \\\"bin_3\\\" AS \\\"group_col\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_val\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"row_num\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"bin_3\\\"\\n ) AS \\\"group_size\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_3\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_val\\\",\\n \\\"row_num\\\",\\n \\\"group_size\\\",\\n (1.0 + 0.9 * (\\\"group_size\\\" - 1)) AS \\\"target_pos\\\",\\n CAST(1.0 + 0.9 * (\\\"group_size\\\" - 1) AS INTEGER) AS \\\"lower_pos\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"group_size\\\" - 1)) = CAST(1.0 + 0.9 * (\\\"group_size\\\" - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.9 * (\\\"group_size\\\" - 1) AS INTEGER)\\n ELSE CAST(1.0 + 0.9 * (\\\"group_size\\\" - 1) AS INTEGER) + 1\\n END AS \\\"upper_pos\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"bin_3\\\",\\n CASE\\n WHEN MAX(\\\"lower_pos\\\") = MAX(\\\"upper_pos\\\") THEN\\n MAX(CASE WHEN \\\"row_num\\\" = \\\"lower_pos\\\" THEN \\\"measure_val\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"row_num\\\" = \\\"lower_pos\\\" THEN \\\"measure_val\\\" END) +\\n (MAX(\\\"target_pos\\\") - MAX(\\\"lower_pos\\\")) * (\\n MAX(CASE WHEN \\\"row_num\\\" = \\\"upper_pos\\\" THEN \\\"measure_val\\\" END) -\\n MAX(CASE WHEN \\\"row_num\\\" = \\\"lower_pos\\\" THEN \\\"measure_val\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\"\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible emulation of the 90th percentile per \\\"bin_3\\\" group using linear interpolation on ordered CAST(\\\"ord_0\\\" AS REAL) values, since SQLite does not support PERCENTILE_CONT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15948,"cached_input_tokens":12032,"output_tokens":1103,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a7d514509f73357c575c1bb4c33baf0cd4b1e72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point.\nWITH \"ordered\" AS (\n SELECT\n \"bin_3\" AS \"group_col\",\n CAST(\"ord_0\" AS REAL) AS \"measure_val\",\n ROW_NUMBER() OVER (\n PARTITION BY \"bin_3\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"row_num\",\n COUNT(*) OVER (\n PARTITION BY \"bin_3\"\n ) AS \"group_size\"\n FROM \"c14\"\n WHERE \"bin_3\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"group_col\",\n \"measure_val\",\n \"row_num\",\n \"group_size\",\n (1.0 + 0.9 * (\"group_size\" - 1)) AS \"target_pos\",\n CAST(1.0 + 0.9 * (\"group_size\" - 1) AS INTEGER) AS \"lower_pos\",\n CASE\n WHEN (1.0 + 0.9 * (\"group_size\" - 1)) = CAST(1.0 + 0.9 * (\"group_size\" - 1) AS INTEGER)\n THEN CAST(1.0 + 0.9 * (\"group_size\" - 1) AS INTEGER)\n ELSE CAST(1.0 + 0.9 * (\"group_size\" - 1) AS INTEGER) + 1\n END AS \"upper_pos\"\n FROM \"ordered\"\n)\nSELECT\n \"group_col\" AS \"bin_3\",\n CASE\n WHEN MAX(\"lower_pos\") = MAX(\"upper_pos\") THEN\n MAX(CASE WHEN \"row_num\" = \"lower_pos\" THEN \"measure_val\" END)\n ELSE\n MAX(CASE WHEN \"row_num\" = \"lower_pos\" THEN \"measure_val\" END) +\n (MAX(\"target_pos\") - MAX(\"lower_pos\")) * (\n MAX(CASE WHEN \"row_num\" = \"upper_pos\" THEN \"measure_val\" END) -\n MAX(CASE WHEN \"row_num\" = \"lower_pos\" THEN \"measure_val\" END)\n )\n END AS \"percentile_measure\"\nFROM \"params\"\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible emulation of the 90th percentile per \"bin_3\" group using linear interpolation on ordered CAST(\"ord_0\" AS REAL) values, since SQLite does not support PERCENTILE_CONT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6182376c859cb06b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b26e5f261b3ae52c434cf38ee994cfb1bfc9708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12237, "bytes_utf8": 12237, "lines": 396, "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": 582, "bytes_utf8": 582, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 406, "reasoning_output_tokens": 240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..11dc3a9179368fb164eec6f071a1b4ad0b3b6d89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_61ded66948099444", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 406, + "total_tokens": 16450, + "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": 11848.88, + "sql_execution_elapsed_ms_total": 152.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/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_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..44df4b1a746ab3290f920bd93c3da257775c72da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/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": "2026-05-19T15:49:03.310246+00:00", + "ended_at": "2026-05-19T15:49:15.159151+00:00", + "elapsed_ms": 11848.88, + "prompt_metrics": { + "chars": 12237, + "bytes_utf8": 12237, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 953, + "bytes_utf8": 953, + "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": 582, + "bytes_utf8": 582, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 406, + "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_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..602ad681aa6cba16c75a44db800311b4ea41db0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_3, measure_col=month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_3", + "measure_col": "month", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31026f48aa39ea826684d8a7d000b26d4bb89640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-23db-7ca2-aaa3-8bb50891b30e"} +{"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 \\\"bin_3\\\", SUM(CAST(\\\"month\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_3\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_3\\\", 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 provided template with group_col=\\\"bin_3\\\" and measure_col=\\\"month\\\". CAST(\\\"month\\\" AS REAL) is used because the schema stores month as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16044,"cached_input_tokens":14720,"output_tokens":406,"reasoning_output_tokens":240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..79a2b3db93cca137990a8ead732bc89c81855592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_3\", SUM(CAST(\"month\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"bin_3\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_3\", 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 provided template with group_col=\"bin_3\" and measure_col=\"month\". CAST(\"month\" AS REAL) is used because the schema stores month as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_61ded66948099444/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7bce3fd2158ecb682c01687930acc0b134a357cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"ord_4": "L", "support": 19066, "avg_response": 3.0147382775621527}, {"ord_4": "G", "support": 18899, "avg_response": 3.018625324091222}, {"ord_4": "S", "support": 18875, "avg_response": 3.013139072847682}, {"ord_4": "A", "support": 18258, "avg_response": 3.007120166502355}, {"ord_4": "R", "support": 16927, "avg_response": 3.0031310923376853}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d4cf2b61994482cae5d8921b7743377752384110 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c14_621c23f962461200 +-- problem_id: v2p_c14_a2b2f98997664754 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ord_4", + COUNT(*) AS support, + AVG("day") AS avg_response +FROM "c14" +GROUP BY "ord_4" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ad04324006e10da6d86e5bddb234431411132c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c14_621c23f962461200\n-- problem_id: v2p_c14_a2b2f98997664754\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ord_4\",\n COUNT(*) AS support,\n AVG(\"day\") AS avg_response\nFROM \"c14\"\nGROUP BY \"ord_4\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c14_621c23f962461200\\n-- problem_id: v2p_c14_a2b2f98997664754\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ord_4\\\",\\n COUNT(*) AS support,\\n AVG(\\\"day\\\") AS avg_response\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"ord_4\", \"support\", \"avg_response\"], \"rows\": [{\"ord_4\": \"L\", \"support\": 19066, \"avg_response\": 3.0147382775621527}, {\"ord_4\": \"G\", \"support\": 18899, \"avg_response\": 3.018625324091222}, {\"ord_4\": \"S\", \"support\": 18875, \"avg_response\": 3.013139072847682}, {\"ord_4\": \"A\", \"support\": 18258, \"avg_response\": 3.007120166502355}, {\"ord_4\": \"R\", \"support\": 16927, \"avg_response\": 3.0031310923376853}, {\"ord_4\": \"Q\", \"support\": 15925, \"avg_response\": 3.0055886970172683}, {\"ord_4\": \"K\", \"support\": 14698, \"avg_response\": 3.018097700367397}, {\"ord_4\": \"I\", \"support\": 14644, \"avg_response\": 3.024720021851953}, {\"ord_4\": \"Z\", \"support\": 14232, \"avg_response\": 3.034921304103429}, {\"ord_4\": \"T\", \"support\": 14220, \"avg_response\": 3.0025316455696203}, {\"ord_4\": \"V\", \"support\": 14143, \"avg_response\": 3.0139291522307854}, {\"ord_4\": \"J\", \"support\": 12878, \"avg_response\": 3.006911011026557}, {\"ord_4\": \"P\", \"support\": 12839, \"avg_response\": 3.0105148376041746}, {\"ord_4\": \"U\", \"support\": 12775, \"avg_response\": 3.0087671232876714}, {\"ord_4\": \"H\", \"support\": 12743, \"avg_response\": 3.004002197284784}, {\"ord_4\": \"F\", \"support\": 11717, \"avg_response\": 2.966458991209354}, {\"ord_4\": \"E\", \"support\": 11303, \"avg_response\": 3.014244006016102}, {\"ord_4\": \"W\", \"support\": 9197, \"avg_response\": 3.012069152984669}, {\"ord_4\": \"Y\", \"support\": 8490, \"avg_response\": 2.9808009422850414}, {\"ord_4\": \"X\", \"support\": 6292, \"avg_response\": 3.013350286077559}, {\"ord_4\": \"B\", \"support\": 6169, \"avg_response\": 3.0209110066461338}, {\"ord_4\": \"O\", \"support\": 5836, \"avg_response\": 2.990918437285812}, {\"ord_4\": \"D\", \"support\": 3974, \"avg_response\": 2.970558631102164}, {\"ord_4\": \"C\", \"support\": 3575, \"avg_response\": 2.9563636363636365}, {\"ord_4\": \"N\", \"support\": 2166, \"avg_response\": 2.94275161588181}, {\"ord_4\": \"M\", \"support\": 159, \"avg_response\": 2.79874213836478}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 194.7}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bdb78c31d7869db647b94b12b457d0c6858789a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:59.253252+00:00", + "ended_at": "2026-05-19T16:12:59.449540+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_621c23f962461200", + "problem_id": "v2p_c14_a2b2f98997664754", + "dataset_id": "c14", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=day, key_col=ord_4.", + "bindings": { + "key_col": "ord_4", + "measure_col": "day", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_621c23f962461200.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_621c23f962461200/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecfed1bfda702c8ecf1a239aacb09886bc809fb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "lines": 396, "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": 582, "bytes_utf8": 582, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16042, "cached_input_tokens": 14720, "output_tokens": 496, "reasoning_output_tokens": 331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1ea76384d1f5f4962779fde993323a4e5fed2ca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_63c69dffbad3493d", + "api_calls": 0, + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 496, + "total_tokens": 16538, + "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": 10044.28, + "sql_execution_elapsed_ms_total": 142.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/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_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2363677ca171c2d22a331afc65c4ebb8e2cc12be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/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": "2026-05-19T15:49:15.330974+00:00", + "ended_at": "2026-05-19T15:49:25.375280+00:00", + "elapsed_ms": 10044.28, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 953, + "bytes_utf8": 953, + "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": 582, + "bytes_utf8": 582, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 496, + "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_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..719f559cdfe1a354f6287aae058aaf033ad57747 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_3, measure_col=month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_3", + "measure_col": "month", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7ba769cc0f4310433361a0bfd6a156b050a8d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-52c5-7853-96c0-80ebdee7df0b"} +{"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 \\\"bin_3\\\", SUM(CAST(\\\"month\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_3\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_3\\\", 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 template with group_col=\\\"bin_3\\\" and measure_col=\\\"month\\\". Cast \\\"month\\\" from TEXT to REAL so SQLite can aggregate it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16042,"cached_input_tokens":14720,"output_tokens":496,"reasoning_output_tokens":331}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b707f74b9f8ffb3c7b3109e6067c2c262c953c3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_3\", SUM(CAST(\"month\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"bin_3\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_3\", 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 template with group_col=\"bin_3\" and measure_col=\"month\". Cast \"month\" from TEXT to REAL so SQLite can aggregate it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_63c69dffbad3493d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa8fd48036d9faf6e7ebfc9cedb648d96df8c526 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12081, "bytes_utf8": 12081, "lines": 398, "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": 542, "bytes_utf8": 542, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16023, "cached_input_tokens": 14720, "output_tokens": 675, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b6f20c4269a6fe3e65cb7d7ed74ef798fa4d3d40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_66c28c7fa2641554", + "api_calls": 0, + "input_tokens": 16023, + "cached_input_tokens": 14720, + "output_tokens": 675, + "total_tokens": 16698, + "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": 14547.1, + "sql_execution_elapsed_ms_total": 1041.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/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_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dacecc045be57748e9dd10d7027a2c95f0c0c182 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/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": "2026-05-19T15:37:56.715538+00:00", + "ended_at": "2026-05-19T15:38:11.262666+00:00", + "elapsed_ms": 14547.1, + "prompt_metrics": { + "chars": 12081, + "bytes_utf8": 12081, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 910, + "bytes_utf8": 910, + "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": 542, + "bytes_utf8": 542, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16023, + "cached_input_tokens": 14720, + "output_tokens": 675, + "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_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2b9ca16db67165e391af5be2fd54a1a0cf96202 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "item_col": "id", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5275a15e1c813f86e2fe6698f69b52d73db3186c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_3\", \"id\",\n SUM(CAST(\"month\" AS REAL)) AS total_measure,\n SUM(CAST(\"month\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"month\" AS REAL))) OVER (PARTITION BY \"ord_3\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_3\", \"id\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with bindings group_col=ord_3, item_col=id, and measure_col=month. Cast month from TEXT to REAL for SQLite numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_66c28c7fa2641554/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..35543756ae2331883a264443f1e7c0b4c6b3bac2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_2. +Result preview: [{"bin_3": "T", "ord_2": "Freezing", "row_count": 13067}, {"bin_3": "F", "ord_2": "Freezing", "row_count": 12435}, {"bin_3": "T", "ord_2": "Lava Hot", "row_count": 8458}, {"bin_3": "T", "ord_2": "Boiling Hot", "row_count": 8000}, {"bin_3": "F", "ord_2": "Lava Hot", "row_count": 7890}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0da43faccafd174ef41517d800c6b3c0329bb3ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c14_6895db758334d6e0 +-- problem_id: v2p_c14_fb8ba71243fb57e9 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_3", "ord_2", COUNT(*) AS row_count +FROM "c14" +WHERE "nom_0" = 'Red' +GROUP BY "bin_3", "ord_2" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a58699df4dad1d48a3f4eb9f359acba1ea8f8918 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_2\", COUNT(*) AS row_count\nFROM \"c14\"\nWHERE \"nom_0\" = 'Red'\nGROUP BY \"bin_3\", \"ord_2\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_2\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"nom_0\\\" = 'Red'\\nGROUP BY \\\"bin_3\\\", \\\"ord_2\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"bin_3\", \"ord_2\", \"row_count\"], \"rows\": [{\"bin_3\": \"T\", \"ord_2\": \"Freezing\", \"row_count\": 13067}, {\"bin_3\": \"F\", \"ord_2\": \"Freezing\", \"row_count\": 12435}, {\"bin_3\": \"T\", \"ord_2\": \"Lava Hot\", \"row_count\": 8458}, {\"bin_3\": \"T\", \"ord_2\": \"Boiling Hot\", \"row_count\": 8000}, {\"bin_3\": \"F\", \"ord_2\": \"Lava Hot\", \"row_count\": 7890}, {\"bin_3\": \"F\", \"ord_2\": \"Boiling Hot\", \"row_count\": 7399}, {\"bin_3\": \"T\", \"ord_2\": \"Cold\", \"row_count\": 4428}, {\"bin_3\": \"F\", \"ord_2\": \"Cold\", \"row_count\": 4223}, {\"bin_3\": \"T\", \"ord_2\": \"Hot\", \"row_count\": 2901}, {\"bin_3\": \"F\", \"ord_2\": \"Hot\", \"row_count\": 2751}, {\"bin_3\": \"T\", \"ord_2\": \"Warm\", \"row_count\": 2496}, {\"bin_3\": \"F\", \"ord_2\": \"Warm\", \"row_count\": 2445}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 98.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a629a5382095ccccc9f552a6a402ee1a51e4362d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:45:07.119281+00:00", + "ended_at": "2026-05-19T15:45:22.042208+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_6895db758334d6e0", + "problem_id": "v2p_c14_fb8ba71243fb57e9", + "dataset_id": "c14", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_2.", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_2", + "predicate_col": "nom_0", + "predicate_op": "=", + "predicate_value": "Red", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=56" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_6895db758334d6e0.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6895db758334d6e0", + "api_calls": 0, + "input_tokens": 16004, + "cached_input_tokens": 14720, + "output_tokens": 354, + "total_tokens": 16358, + "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": 14806.08, + "sql_execution_elapsed_ms_total": 98.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/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_d/c14/artifacts/v2q_c14_6895db758334d6e0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0910418bc60ac3fc1e78e2c57fc85a877a8aef9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:21.942340+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14806.08, "started_at": "2026-05-19T15:45:07.135299+00:00", "ended_at": "2026-05-19T15:45:21.941410+00:00", "prompt_metrics": {"chars": 11995, "bytes_utf8": 11995, "lines": 400, "estimated_tokens": null}, "response_metrics": {"chars": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16004, "cached_input_tokens": 14720, "output_tokens": 354, "reasoning_output_tokens": 236}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_2\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"nom_0\\\" = 'Red'\\nGROUP BY \\\"bin_3\\\", \\\"ord_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"ord_2\\\", and predicate \\\"nom_0\\\" = 'Red'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..09eb41fe5c3818b21a6903414717ba51b8efb301 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6895db758334d6e0", + "api_calls": 0, + "input_tokens": 16004, + "cached_input_tokens": 14720, + "output_tokens": 354, + "total_tokens": 16358, + "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": 14806.08, + "sql_execution_elapsed_ms_total": 98.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6895db758334d6e0/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_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6f293527299ed760ae5e0f379e798a6f88c27af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_0, measure_col=id. +Result preview: [{"bin_0": "0", "group_value": 39283525074.0}, {"bin_0": "1", "group_value": 5716324926.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d1d11f40c050e797ef13fb64b078ac0a19acd4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c14_6a6c643d0fc01b36 +-- problem_id: v2p_c14_4d9d39ba90552a6d +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "bin_0", SUM(CAST("id" AS REAL)) AS group_value + FROM "c14" + GROUP BY "bin_0" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."bin_0", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11ecfa069b4a87ab5e30dc9efd5b5f77edb61195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_0\", SUM(CAST(\"id\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"bin_0\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_0\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_0\\\", 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;\", \"columns\": [\"bin_0\", \"group_value\"], \"rows\": [{\"bin_0\": \"0\", \"group_value\": 39283525074.0}, {\"bin_0\": \"1\", \"group_value\": 5716324926.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 145.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..15c913df77f178fe9fb97dfb2b60dd9061517f40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:48:00.677734+00:00", + "ended_at": "2026-05-19T15:48:10.807262+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_6a6c643d0fc01b36", + "problem_id": "v2p_c14_4d9d39ba90552a6d", + "dataset_id": "c14", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_0, measure_col=id.", + "bindings": { + "group_col": "bin_0", + "measure_col": "id", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_6a6c643d0fc01b36.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6a6c643d0fc01b36", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 462, + "total_tokens": 16506, + "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": 9953.89, + "sql_execution_elapsed_ms_total": 145.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/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_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f95306e45169adacd4632559b58298f25c61e9ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:10.659413+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9953.89, "started_at": "2026-05-19T15:48:00.704582+00:00", "ended_at": "2026-05-19T15:48:10.658512+00:00", "prompt_metrics": {"chars": 12239, "bytes_utf8": 12239, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 591, "bytes_utf8": 591, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 462, "reasoning_output_tokens": 293}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_0\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_0\\\", 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 required template with group_col=\\\"bin_0\\\" and measure_col=\\\"id\\\"; cast \\\"id\\\" to REAL so SUM works reliably in SQLite because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..771d7a0bf4be1243cbaa1ce8d47c2efb43749204 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6a6c643d0fc01b36", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 462, + "total_tokens": 16506, + "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": 9953.89, + "sql_execution_elapsed_ms_total": 145.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6a6c643d0fc01b36/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_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..14bf5e67dbf440f8caa81a0e49aa6d7a12e466b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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=day. +Result preview: [{"month": "6", "nom_7": "e14d5f3eb", "total_measure": 22.0, "share_within_group": 1.3571869216533003}, {"month": "6", "nom_7": "3f0057c9b", "total_measure": 14.0, "share_within_group": 0.863664404688464}, {"month": "6", "nom_7": "4dca91a1b", "total_measure": 14.0, "share_within_group": 0.863664404688464}, {"month": "6", "nom_7": "e1bdff4c4", "total_measure": 14.0, "share_within_group": 0.863664404688464}, {"month": "6", "nom_7": "ec387fa89", "total_measure": 14.0, "share_within_group": 0.863664404688464}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ef5457e506d9420e062f7c8675a3f1ec39d84b46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_6b6a9e0737d6e7c6 +-- problem_id: v2p_c14_65f17fe7ae4635ef +-- realization_mode: agent +-- source_kind: agent +SELECT "month", "nom_7", + SUM(CAST("day" AS REAL)) AS total_measure, + SUM(CAST("day" AS REAL)) * 100.0 / SUM(SUM(CAST("day" AS REAL))) OVER (PARTITION BY "month") AS share_within_group +FROM "c14" +GROUP BY "month", "nom_7" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c02f00123365cdd9d014c2c6e1bcc58e1a9163b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"month\", \"nom_7\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"month\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"month\", \"nom_7\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"month\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"month\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"month\", \"nom_7\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"month\": \"6\", \"nom_7\": \"e14d5f3eb\", \"total_measure\": 22.0, \"share_within_group\": 1.3571869216533003}, {\"month\": \"6\", \"nom_7\": \"3f0057c9b\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"4dca91a1b\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"e1bdff4c4\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"ec387fa89\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"779c45830\", \"total_measure\": 13.0, \"share_within_group\": 0.8019740900678594}, {\"month\": \"6\", \"nom_7\": \"85495b390\", \"total_measure\": 13.0, \"share_within_group\": 0.8019740900678594}, {\"month\": \"6\", \"nom_7\": \"36d85d658\", \"total_measure\": 12.0, \"share_within_group\": 0.7402837754472548}, {\"month\": \"6\", \"nom_7\": \"5c064b2bf\", \"total_measure\": 11.0, \"share_within_group\": 0.6785934608266502}, {\"month\": \"6\", \"nom_7\": \"6f3940b72\", \"total_measure\": 11.0, \"share_within_group\": 0.6785934608266502}, {\"month\": \"6\", \"nom_7\": \"f31a506ec\", \"total_measure\": 11.0, \"share_within_group\": 0.6785934608266502}, {\"month\": \"6\", \"nom_7\": \"1c3f27dd8\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"38fa49974\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"3fa1d9901\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"50831f351\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"677329fb6\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"700924d38\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"03c02132c\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"0e0637b46\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"17b83802f\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"24e9bf7d4\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"50b84bf39\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"5cf3ef747\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"b7a8563c3\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"c4a8e37bb\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"e2d4e02e1\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"f66675c18\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"234fb5608\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"45fd460a6\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"74912d804\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"89072e3be\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"91473c44a\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"a09faf01e\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"a2ff76df0\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"be75a496b\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"be90beeea\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"bf899de6f\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"e47776758\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"e53c2bd92\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"eeba65bef\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"09394408f\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"0ae0f174d\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"15c34fdba\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"1cd2547ac\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"21a9b0580\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"27c719804\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"2c8e13a9f\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"31c0ce565\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"370b29add\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"38acaf52e\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 353.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..72a052545cdec83569e8bcd31934aca17c626f7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:39:58.053396+00:00", + "ended_at": "2026-05-19T15:40:17.890573+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_6b6a9e0737d6e7c6", + "problem_id": "v2p_c14_65f17fe7ae4635ef", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "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=day.", + "bindings": { + "group_col": "month", + "measure_col": "day", + "item_col": "nom_7", + "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": 3.64, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=2/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_6b6a9e0737d6e7c6.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6b6a9e0737d6e7c6", + "api_calls": 0, + "input_tokens": 16021, + "cached_input_tokens": 12032, + "output_tokens": 609, + "total_tokens": 16630, + "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": 19463.38, + "sql_execution_elapsed_ms_total": 353.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/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_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a85ca3a3d55dea0f11bfa18b0f0035aea984c5aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:17.533883+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19463.38, "started_at": "2026-05-19T15:39:58.069752+00:00", "ended_at": "2026-05-19T15:40:17.533156+00:00", "prompt_metrics": {"chars": 12083, "bytes_utf8": 12083, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 557, "bytes_utf8": 557, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16021, "cached_input_tokens": 12032, "output_tokens": 609, "reasoning_output_tokens": 443}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"month\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"month\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"month\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"day\\\". CAST(\\\"day\\\" AS REAL) is used because the schema stores \\\"day\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..08946d5eab634d3497a654803dc5c82b7689f915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b6a9e0737d6e7c6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6b6a9e0737d6e7c6", + "api_calls": 0, + "input_tokens": 16021, + "cached_input_tokens": 12032, + "output_tokens": 609, + "total_tokens": 16630, + "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": 19463.38, + 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"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": 525, "bytes_utf8": 525, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 14720, "output_tokens": 663, "reasoning_output_tokens": 497}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bba6a65ad5fd943afc62fd1d53599b14c1dbe84e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6b710e0e9a6ae6af", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 14720, + "output_tokens": 663, + "total_tokens": 16689, + "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": 12448.84, + "sql_execution_elapsed_ms_total": 309.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/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_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd7c5d07548fd44e0da22ba10e6070359b5c2eea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/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": "2026-05-19T15:37:31.176634+00:00", + "ended_at": "2026-05-19T15:37:43.625501+00:00", + "elapsed_ms": 12448.84, + "prompt_metrics": { + "chars": 12085, + "bytes_utf8": 12085, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 909, + "bytes_utf8": 909, + "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": 525, + "bytes_utf8": 525, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16026, + "cached_input_tokens": 14720, + "output_tokens": 663, + "reasoning_output_tokens": 497 + } + }, + "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_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8e2e3d8d96fbf67520ec2c73c990264a59bd49b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "item_col": "ord_5", + "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 {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_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4df21b00b3a6d2cd10f72fad118a23735737dacc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-9447-7322-ac44-8f084e82de69"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_2\\\", \\\"ord_5\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"ord_2\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_2\\\", \\\"ord_5\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"ord_2\\\", item_col=\\\"ord_5\\\", and measure_col=\\\"day\\\". CAST(\\\"day\\\" AS REAL) is used because the schema stores day as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16026,"cached_input_tokens":14720,"output_tokens":663,"reasoning_output_tokens":497}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b683173c5d3b9162319e6462692cde35cfabb156 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_2\", \"ord_5\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"ord_2\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_2\", \"ord_5\"\nORDER BY share_within_group DESC;","notes":"Applied the planned template with group_col=\"ord_2\", item_col=\"ord_5\", and measure_col=\"day\". CAST(\"day\" AS REAL) is used because the schema stores day as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6b710e0e9a6ae6af/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d47677686e08bb8effb62619891d74f843143a40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"nom_6": "d173ac7ca", "support": 1218, "avg_response": 156399.44827586206}, {"nom_6": "2ed5a94b0", "support": 1210, "avg_response": 149419.17603305785}, {"nom_6": "c9eedfbc2", "support": 1193, "avg_response": 150886.67896060352}, {"nom_6": "50d7ad46a", "support": 1175, "avg_response": 152305.86808510637}, {"nom_6": "0922e3cb8", "support": 1169, "avg_response": 151723.98374679213}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..50b0718e3b3a5e8849c1b141b05a7ad4b2b4c798 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c14_6c0b01cfac02cd3b +-- problem_id: v2p_c14_c95b24852791fe09 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "nom_6", + COUNT(*) AS support, + AVG("id") AS avg_response +FROM "c14" +GROUP BY "nom_6" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67298fb85cdc4ff3b4f2b9e3bf9e00d5ddbe086a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c14_6c0b01cfac02cd3b\n-- problem_id: v2p_c14_c95b24852791fe09\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"nom_6\",\n COUNT(*) AS support,\n AVG(\"id\") AS avg_response\nFROM \"c14\"\nGROUP BY \"nom_6\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c14_6c0b01cfac02cd3b\\n-- problem_id: v2p_c14_c95b24852791fe09\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"nom_6\\\",\\n COUNT(*) AS support,\\n AVG(\\\"id\\\") AS avg_response\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_6\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"nom_6\", \"support\", \"avg_response\"], \"rows\": [{\"nom_6\": \"d173ac7ca\", \"support\": 1218, \"avg_response\": 156399.44827586206}, {\"nom_6\": \"2ed5a94b0\", \"support\": 1210, \"avg_response\": 149419.17603305785}, {\"nom_6\": \"c9eedfbc2\", \"support\": 1193, \"avg_response\": 150886.67896060352}, {\"nom_6\": \"50d7ad46a\", \"support\": 1175, \"avg_response\": 152305.86808510637}, {\"nom_6\": \"0922e3cb8\", \"support\": 1169, \"avg_response\": 151723.98374679213}, {\"nom_6\": \"d4d727716\", \"support\": 1167, \"avg_response\": 148820.65724078834}, {\"nom_6\": \"705cb7579\", \"support\": 1165, \"avg_response\": 148995.41545064378}, {\"nom_6\": \"1fe17a1fd\", \"support\": 1157, \"avg_response\": 151132.24719101124}, {\"nom_6\": \"3ac1b8814\", \"support\": 1148, \"avg_response\": 148702.12717770034}, {\"nom_6\": \"f497b97d7\", \"support\": 1146, \"avg_response\": 149435.38394415358}, {\"nom_6\": \"4f849ad2d\", \"support\": 1140, \"avg_response\": 149528.91315789474}, {\"nom_6\": \"bc82e0ba0\", \"support\": 1138, \"avg_response\": 147377.82337434095}, {\"nom_6\": \"9448b8e3b\", \"support\": 1137, \"avg_response\": 148131.8328935796}, {\"nom_6\": \"50e49ea04\", \"support\": 1137, \"avg_response\": 147366.74758135443}, {\"nom_6\": \"71c68195d\", \"support\": 1133, \"avg_response\": 152593.27007943514}, {\"nom_6\": \"20636817e\", \"support\": 1133, \"avg_response\": 145813.5895851721}, {\"nom_6\": \"a406a5f12\", \"support\": 1125, \"avg_response\": 150926.0462222222}, {\"nom_6\": \"bc31d6a6d\", \"support\": 1123, \"avg_response\": 151589.17008014247}, {\"nom_6\": \"e16557b2b\", \"support\": 1119, \"avg_response\": 149450.87131367292}, {\"nom_6\": \"b238965eb\", \"support\": 1117, \"avg_response\": 150432.20143240824}, {\"nom_6\": \"40ac3fcd5\", \"support\": 1116, \"avg_response\": 151095.76254480286}, {\"nom_6\": \"642fcc7be\", \"support\": 1114, \"avg_response\": 152200.48922800718}, {\"nom_6\": \"a20513779\", \"support\": 1114, \"avg_response\": 150369.10143626572}, {\"nom_6\": \"f14fe8bc5\", \"support\": 1113, \"avg_response\": 151226.59568733154}, {\"nom_6\": \"017eb57f0\", \"support\": 1113, \"avg_response\": 150159.19407008085}, {\"nom_6\": \"cefab1020\", \"support\": 1109, \"avg_response\": 146719.45626690713}, {\"nom_6\": \"3b9693870\", \"support\": 1107, \"avg_response\": 151740.29810298103}, {\"nom_6\": \"f134870d4\", \"support\": 1102, \"avg_response\": 146780.6724137931}, {\"nom_6\": \"cd8e3a0a7\", \"support\": 1101, \"avg_response\": 148090.31335149863}, {\"nom_6\": \"c0f1061ee\", \"support\": 1100, \"avg_response\": 149675.4609090909}, {\"nom_6\": \"cd94f29d1\", \"support\": 1096, \"avg_response\": 149845.0821167883}, {\"nom_6\": \"9e0a099c7\", \"support\": 1095, \"avg_response\": 151212.83196347032}, {\"nom_6\": \"edb3cf6c8\", \"support\": 1094, \"avg_response\": 144054.10146252284}, {\"nom_6\": \"25d3a1087\", \"support\": 1093, \"avg_response\": 149754.9405306496}, {\"nom_6\": \"bb219c9ac\", \"support\": 1091, \"avg_response\": 153365.9367552704}, {\"nom_6\": \"718fd9453\", \"support\": 1091, \"avg_response\": 151243.86434463796}, {\"nom_6\": \"6046454de\", \"support\": 1086, \"avg_response\": 150211.58839779007}, {\"nom_6\": \"42b1cc2fd\", \"support\": 1081, \"avg_response\": 150516.28307123034}, {\"nom_6\": \"788ba7aea\", \"support\": 1081, \"avg_response\": 147296.96392229418}, {\"nom_6\": \"cf8b12b4e\", \"support\": 1080, \"avg_response\": 147177.57407407407}, {\"nom_6\": \"acf5b10dd\", \"support\": 1075, \"avg_response\": 152158.86325581395}, {\"nom_6\": \"d213f48ed\", \"support\": 1073, \"avg_response\": 145460.0587138863}, {\"nom_6\": \"395941181\", \"support\": 1070, \"avg_response\": 148232.92056074768}, {\"nom_6\": \"508ff88dc\", \"support\": 1064, \"avg_response\": 149407.13627819548}, {\"nom_6\": \"32be571ee\", \"support\": 1062, \"avg_response\": 151665.2900188324}, {\"nom_6\": \"b69c236cb\", \"support\": 1061, \"avg_response\": 146899.98020735156}, {\"nom_6\": \"3e44d44eb\", \"support\": 1060, \"avg_response\": 150017.0924528302}, {\"nom_6\": \"73dd803d0\", \"support\": 1057, \"avg_response\": 146624.0425733207}, {\"nom_6\": \"0bcb379d8\", \"support\": 1054, \"avg_response\": 153196.8557874763}, {\"nom_6\": \"4daee3baf\", \"support\": 1053, \"avg_response\": 146918.14339981007}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 223.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7be450356144ec780f2a76aa4104f3661fc6a9e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:57.671864+00:00", + "ended_at": "2026-05-19T16:12:57.897879+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_6c0b01cfac02cd3b", + "problem_id": "v2p_c14_c95b24852791fe09", + "dataset_id": "c14", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=id, key_col=nom_6.", + "bindings": { + "key_col": "nom_6", + "measure_col": "id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_6c0b01cfac02cd3b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6c0b01cfac02cd3b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..131aabeb189c8e67ddeccbfe40e674e2f8662a68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_1, measure_col=ord_0. +Result preview: [{"bin_1": "0", "group_value": 329987.0}, {"bin_1": "1", "group_value": 113883.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..eec562868a7b2af266e69da8335d7f387ce050f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c14_6ccdee50324d17a4 +-- problem_id: v2p_c14_6b6e9fc6e03b8975 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "bin_1", + SUM(CAST("ord_0" AS REAL)) AS group_value + FROM "c14" + WHERE "bin_1" IS NOT NULL + AND "ord_0" IS NOT NULL + GROUP BY "bin_1" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."bin_1", + g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8713f317c7b7c26759beae6b417bedccbbe4e021 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"bin_1\",\n SUM(CAST(\"ord_0\" AS REAL)) AS group_value\n FROM \"c14\"\n WHERE \"bin_1\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n GROUP BY \"bin_1\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"bin_1\",\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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"bin_1\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_1\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"bin_1\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"bin_1\\\",\\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;\", \"columns\": [\"bin_1\", \"group_value\"], \"rows\": [{\"bin_1\": \"0\", \"group_value\": 329987.0}, {\"bin_1\": \"1\", \"group_value\": 113883.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 149.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fb2f7e438a091e722a1654e8af3e84a17171c8e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:48:10.807790+00:00", + "ended_at": "2026-05-19T15:48:25.214123+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_6ccdee50324d17a4", + "problem_id": "v2p_c14_6b6e9fc6e03b8975", + "dataset_id": "c14", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_1, measure_col=ord_0.", + "bindings": { + "group_col": "bin_1", + "measure_col": "ord_0", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_6ccdee50324d17a4.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6ccdee50324d17a4", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 728, + "total_tokens": 16776, + "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": 14237.89, + "sql_execution_elapsed_ms_total": 149.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/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_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..574d1136f3f1cac4df2ca52bd3cffec1087b9dbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:25.062516+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14237.89, "started_at": "2026-05-19T15:48:10.823681+00:00", "ended_at": "2026-05-19T15:48:25.061601+00:00", "prompt_metrics": {"chars": 12237, "bytes_utf8": 12237, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 723, "bytes_utf8": 723, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16048, "cached_input_tokens": 14720, "output_tokens": 728, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"bin_1\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_1\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"bin_1\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"bin_1\\\",\\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\":\"Used the planned template with group_col=\\\"bin_1\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to REAL because the SQLite schema stores it as TEXT, and filtered out NULLs to keep the grouped view stable.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5317114c0941533a06af8dbb1d6cf04061c3c15b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_6ccdee50324d17a4", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 728, + "total_tokens": 16776, + "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": 14237.89, + "sql_execution_elapsed_ms_total": 149.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_6ccdee50324d17a4/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_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..034c311d01238914ac12ad6b7a7d266a6f773784 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11680, "bytes_utf8": 11680, "lines": 396, "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": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 285, "reasoning_output_tokens": 183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..31f2af040f73d72cdad7ceebe017e0e5058cecda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_715ec4337d59f174", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 285, + "total_tokens": 16191, + "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": 8735.96, + "sql_execution_elapsed_ms_total": 138.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/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_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8d788f5fbf79a6cac7583f16dc07d81febcb05d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/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": "2026-05-19T15:29:10.311314+00:00", + "ended_at": "2026-05-19T15:29:19.047303+00:00", + "elapsed_ms": 8735.96, + "prompt_metrics": { + "chars": 11680, + "bytes_utf8": 11680, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 703, + "bytes_utf8": 703, + "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": 15906, + "cached_input_tokens": 12032, + "output_tokens": 285, + "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_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7009cdee9ff5d48eb014de0c365213d8733017c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_2, measure_col=day.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_2", + "measure_col": "day", + "top_k": 17, + "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": 3.64, + "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_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..66faea46322ea93387972b85f354c29b72e66013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-efb9-7601-abdb-657ed495ae5a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_2\\\", SUM(CAST(\\\"day\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"bin_2\\\" and measure_col=\\\"day\\\". CAST is used because \\\"day\\\" is stored as TEXT in the schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":285,"reasoning_output_tokens":183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b652640b4647af4cd88a2e8121d981e9e8d0f77f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_2\", SUM(CAST(\"day\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\nGROUP BY \"bin_2\"\nORDER BY total_measure DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=\"bin_2\" and measure_col=\"day\". CAST is used because \"day\" is stored as TEXT in the schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_715ec4337d59f174/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..283cef8c3a09ad1fad552c8a402fb3fb0dd0eaa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 394, "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": 562, "bytes_utf8": 562, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 14720, "output_tokens": 633, "reasoning_output_tokens": 473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..027e13871c09fd516e72abf75cae42c40cd58f92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_71f28e1ac68dfe51", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 633, + "total_tokens": 16590, + "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": 12902.4, + "sql_execution_elapsed_ms_total": 400.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/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_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d8a389027b2cc7380c33bffe40896f1b964681c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/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": "2026-05-19T15:45:22.058351+00:00", + "ended_at": "2026-05-19T15:45:34.960772+00:00", + "elapsed_ms": 12902.4, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 949, + "bytes_utf8": 949, + "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": 562, + "bytes_utf8": 562, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 633, + "reasoning_output_tokens": 473 + } + }, + "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_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..01a30dd394ebc1b198323b4bb12f9f9dac8375f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b3354ea998955dcb6d087cb1f487d5ea82c6f71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-c39f-7e02-be0b-ce5118a0b669"} +{"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(\\\"id\\\" AS INTEGER) AS \\\"id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"id\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with \\\"id\\\" as the bound measure column and 10 tiles. CAST(\\\"id\\\" AS INTEGER) is used so the tail bucket reflects numeric rather than lexical ordering, since the SQLite schema stores \\\"id\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15957,"cached_input_tokens":14720,"output_tokens":633,"reasoning_output_tokens":473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..03cba48c1ebf7892db781a2bdb5350b0755c7caf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"id\" AS INTEGER) AS \"id\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n)\nSELECT \"id\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"id\" DESC;","notes":"Applied the Quantile Tail Slice template with \"id\" as the bound measure column and 10 tiles. CAST(\"id\" AS INTEGER) is used so the tail bucket reflects numeric rather than lexical ordering, since the SQLite schema stores \"id\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_71f28e1ac68dfe51/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e561f04c74796c1c522f34c14544f4c853cf260d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_0, measure_col=ord_0. +Result preview: [{"nom_0": "Green", "total_measure": 188383}, {"nom_0": "Blue", "total_measure": 142071}, {"nom_0": "Red", "total_measure": 113416}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..320fd61863641df26e6fb8b0ce3efe15356eb499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_74e6799ea1d4d584 +-- problem_id: v2p_c14_1eea08e1266df43f +-- realization_mode: agent +-- source_kind: agent +SELECT + "nom_0", + SUM(CAST("ord_0" AS NUMERIC)) AS total_measure +FROM "c14" +GROUP BY "nom_0" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7d9a91fb24f4086290507a01550c457c885a0b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT\n \"nom_0\",\n SUM(CAST(\"ord_0\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_0\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"nom_0\\\",\\n SUM(CAST(\\\"ord_0\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"nom_0\", \"total_measure\"], \"rows\": [{\"nom_0\": \"Green\", \"total_measure\": 188383}, {\"nom_0\": \"Blue\", \"total_measure\": 142071}, {\"nom_0\": \"Red\", \"total_measure\": 113416}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 168.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d486dff343f1698174fd8e060828ac5de53a4f07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:30:02.230568+00:00", + "ended_at": "2026-05-19T15:30:18.007817+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_74e6799ea1d4d584", + "problem_id": "v2p_c14_1eea08e1266df43f", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_0, measure_col=ord_0.", + "bindings": { + "group_col": "nom_0", + "measure_col": "ord_0", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_74e6799ea1d4d584.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_74e6799ea1d4d584", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12288, + "output_tokens": 445, + "total_tokens": 16355, + "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": 15589.9, + "sql_execution_elapsed_ms_total": 168.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/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_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0bf8c7e23274882aabfd906f4450987f2590cd38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:17.837105+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15589.9, "started_at": "2026-05-19T15:30:02.246348+00:00", "ended_at": "2026-05-19T15:30:17.836280+00:00", "prompt_metrics": {"chars": 11681, "bytes_utf8": 11681, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15910, "cached_input_tokens": 12288, "output_tokens": 445, "reasoning_output_tokens": 330}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"nom_0\\\",\\n SUM(CAST(\\\"ord_0\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped numeric sum template with group_col=\\\"nom_0\\\" and measure_col=\\\"ord_0\\\". \\\"ord_0\\\" is cast to NUMERIC because it is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..228872c76c841a7da8d01d5cf4c51cfcefbe933a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_74e6799ea1d4d584", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12288, + "output_tokens": 445, + "total_tokens": 16355, + "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": 15589.9, + "sql_execution_elapsed_ms_total": 168.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_74e6799ea1d4d584/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_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4e7468b59e3dbe7851a0429cfae4740b07fb8abc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11593, "bytes_utf8": 11593, "lines": 394, "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": 267, "bytes_utf8": 267, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15877, "cached_input_tokens": 12032, "output_tokens": 214, "reasoning_output_tokens": 141}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d8fb63d61241cd9e012d0cf05185b953632aba44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_755b44a60ee92095", + "api_calls": 0, + "input_tokens": 15877, + "cached_input_tokens": 12032, + "output_tokens": 214, + "total_tokens": 16091, + "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": 17951.34, + "sql_execution_elapsed_ms_total": 156.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/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_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3bb475553841cebd1342b8f5019271e5633c9a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/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": "2026-05-19T15:32:33.137260+00:00", + "ended_at": "2026-05-19T15:32:51.088637+00:00", + "elapsed_ms": 17951.34, + "prompt_metrics": { + "chars": 11593, + "bytes_utf8": 11593, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1620, + "bytes_utf8": 1620, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 267, + "bytes_utf8": 267, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15877, + "cached_input_tokens": 12032, + "output_tokens": 214, + "reasoning_output_tokens": 141 + } + }, + "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_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f009069a471054ac3de099b2b2442a5d9a1fcb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=day.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "day", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f66bbee5322d71eca16cf2072f83f21c9fdb06c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40de-080b-7bd3-bcd0-85365270409b"} +{"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 16512. Please try again in 495ms. 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 1996540, Requested 16512. Please try again in 391ms. 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 2000000, Requested 16512. Please try again in 495ms. 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 \\\"day\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"day\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count by the bound subgroup column \\\"day\\\" to inspect count distribution across day values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15877,"cached_input_tokens":12032,"output_tokens":214,"reasoning_output_tokens":141}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..894c52761404def7648a6e624092b9f7d685c05f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"day\", COUNT(*) AS \"row_count\"\nFROM \"c14\"\nGROUP BY \"day\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count by the bound subgroup column \"day\" to inspect count distribution across day values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_755b44a60ee92095/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82f06b7ce081a3734b9309af7a529f4c38f22d33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/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": "2026-05-19T16:11:38.480353+00:00", + "ended_at": "2026-05-19T16:11:41.372030+00:00", + "elapsed_ms": 2891.61, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab373a0f99f1ce0cd3cac94eff918b20f6151120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ord_0, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..36d9e0ff92ed66c3bb78c91ce10c3032f9c7c50a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d17c-7051-9da4-ca455086760f"} +{"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_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..34c94552ac88a48d5b06392c0f77f553d8f7a25d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e0a6-7383-a323-c00e66a9708b"} +{"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_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7709c3309351d795/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ab84dfac12cbb21db20bf548be82822ceb3f4c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11855, "bytes_utf8": 11855, "lines": 394, "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": 473, "bytes_utf8": 473, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 14720, "output_tokens": 415, "reasoning_output_tokens": 282}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8f2f741d3c3c67965d002759dc21f88f49ef0274 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_77be990dd486d0e1", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 415, + "total_tokens": 16372, + "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": 18475.74, + "sql_execution_elapsed_ms_total": 430.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/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_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf03245a4522602cb56090d6de31aa13188b8e31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/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": "2026-05-19T15:45:51.732924+00:00", + "ended_at": "2026-05-19T15:46:10.208697+00:00", + "elapsed_ms": 18475.74, + "prompt_metrics": { + "chars": 11855, + "bytes_utf8": 11855, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1502, + "bytes_utf8": 1502, + "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": 473, + "bytes_utf8": 473, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 415, + "reasoning_output_tokens": 282 + } + }, + "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_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a313c7c49c2a76d1c0cb840cc6113523018370da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=day.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "day", + "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 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_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..051e51f273e9c1960ee4472027b91e3d342a56d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40ea-3777-7322-ad36-ef34c71894dc"} +{"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 1993572, Requested 16592. Please try again in 304ms. 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 16592. Please try again in 497ms. 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 \\\"day\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"day\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"day\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"day\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"day\\\" and num_tiles=10. CAST to INTEGER is used because \\\"day\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15957,"cached_input_tokens":14720,"output_tokens":415,"reasoning_output_tokens":282}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a916abcf3d55a28540546015c0da72b0bf441d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"day\",\n NTILE(10) OVER (ORDER BY CAST(\"day\" AS INTEGER) DESC) AS tail_bucket\n FROM \"c14\"\n)\nSELECT \"day\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"day\" AS INTEGER) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"day\" and num_tiles=10. CAST to INTEGER is used because \"day\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_77be990dd486d0e1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e46e2e2c956f6ade128795eb6dac19a4ee36e031 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12235, "bytes_utf8": 12235, "lines": 396, "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": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16042, "cached_input_tokens": 12032, "output_tokens": 644, "reasoning_output_tokens": 485}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3fbd880df29ff5d41a0c2d80a796b36c9586d7e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_7c010e5e1c8cf057", + "api_calls": 0, + "input_tokens": 16042, + "cached_input_tokens": 12032, + "output_tokens": 644, + "total_tokens": 16686, + "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": 15706.35, + "sql_execution_elapsed_ms_total": 136.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/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_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c13c040ce2e3bd41be9f8313b6c42cf082422bc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/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": "2026-05-19T15:49:25.537107+00:00", + "ended_at": "2026-05-19T15:49:41.243486+00:00", + "elapsed_ms": 15706.35, + "prompt_metrics": { + "chars": 12235, + "bytes_utf8": 12235, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 954, + "bytes_utf8": 954, + "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": 583, + "bytes_utf8": 583, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16042, + "cached_input_tokens": 12032, + "output_tokens": 644, + "reasoning_output_tokens": 485 + } + }, + "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_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55062962188045c07ce51d6854572bc351bdf608 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_4, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_4", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb533506f28c8120d0436e5938a744a683e7904e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-7aaa-77f2-b944-606965081fab"} +{"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 \\\"bin_4\\\", COUNT(\\\"id\\\") AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_4\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_4\\\", 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\":\"Adapted the template to use COUNT(\\\"id\\\") instead of SUM(\\\"id\\\") because \\\"id\\\" is an identifier-like TEXT column and the question specifies count_distribution semantics.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16042,"cached_input_tokens":12032,"output_tokens":644,"reasoning_output_tokens":485}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21a522c3b98f6ae3e766438d848f486cdf8616ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_4\", COUNT(\"id\") AS group_value\n FROM \"c14\"\n GROUP BY \"bin_4\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_4\", 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":"Adapted the template to use COUNT(\"id\") instead of SUM(\"id\") because \"id\" is an identifier-like TEXT column and the question specifies count_distribution semantics."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_7c010e5e1c8cf057/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..abec3d521086f3b48b861757d29daf6b92e7b968 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_3, measure_col=day. +Result preview: [{"nom_3": "India", "nom_7": "fe27cc23d", "total_measure": 215.0, "share_within_group": 0.23881724371577415}, {"nom_3": "Finland", "nom_7": "f1bd2fbf3", "total_measure": 263.0, "share_within_group": 0.2367940072208667}, {"nom_3": "India", "nom_7": "a0be4f3da", "total_measure": 207.0, "share_within_group": 0.22993102069379187}, {"nom_3": "Costa Rica", "nom_7": "c6344321c", "total_measure": 246.0, "share_within_group": 0.22686820432894045}, {"nom_3": "India", "nom_7": "a88395028", "total_measure": 196.0, "share_within_group": 0.2177124640385662}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bca11e0f2d8f883d3f9eff1b557e6a53e30a1e7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_8022064a305ee515 +-- problem_id: v2p_c14_9d580050a23b116f +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_3", "nom_7", + SUM(CAST("day" AS REAL)) AS total_measure, + SUM(CAST("day" AS REAL)) * 100.0 / SUM(SUM(CAST("day" AS REAL))) OVER (PARTITION BY "nom_3") AS share_within_group +FROM "c14" +GROUP BY "nom_3", "nom_7" +ORDER BY share_within_group DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6d32c293c31140d8e528bf3dbb5890ba1710a79a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"nom_3\", \"nom_7\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"nom_3\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"nom_3\", \"nom_7\"\nORDER BY share_within_group DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_3\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"nom_3\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\", \"columns\": [\"nom_3\", \"nom_7\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"nom_3\": \"India\", \"nom_7\": \"fe27cc23d\", \"total_measure\": 215.0, \"share_within_group\": 0.23881724371577415}, {\"nom_3\": \"Finland\", \"nom_7\": \"f1bd2fbf3\", \"total_measure\": 263.0, \"share_within_group\": 0.2367940072208667}, {\"nom_3\": \"India\", \"nom_7\": \"a0be4f3da\", \"total_measure\": 207.0, \"share_within_group\": 0.22993102069379187}, {\"nom_3\": \"Costa Rica\", \"nom_7\": \"c6344321c\", \"total_measure\": 246.0, \"share_within_group\": 0.22686820432894045}, {\"nom_3\": \"India\", \"nom_7\": \"a88395028\", \"total_measure\": 196.0, \"share_within_group\": 0.2177124640385662}, {\"nom_3\": \"Finland\", \"nom_7\": \"4a0ff1117\", \"total_measure\": 241.0, \"share_within_group\": 0.21698614349896908}, {\"nom_3\": \"Finland\", \"nom_7\": \"dd9e53e35\", \"total_measure\": 241.0, \"share_within_group\": 0.21698614349896908}, {\"nom_3\": \"Finland\", \"nom_7\": \"4a79709cd\", \"total_measure\": 240.0, \"share_within_group\": 0.21608578605706466}, {\"nom_3\": \"Costa Rica\", \"nom_7\": \"c9ed7172b\", \"total_measure\": 232.0, \"share_within_group\": 0.21395700570859424}, {\"nom_3\": \"India\", \"nom_7\": \"ba636104c\", \"total_measure\": 190.0, \"share_within_group\": 0.2110477967720795}, {\"nom_3\": \"India\", \"nom_7\": \"9d6653dde\", \"total_measure\": 186.0, \"share_within_group\": 0.20660468526108833}, {\"nom_3\": \"China\", \"nom_7\": \"59de9c26a\", \"total_measure\": 285.0, \"share_within_group\": 0.20610504848892455}, {\"nom_3\": \"Canada\", \"nom_7\": \"d640f9971\", \"total_measure\": 307.0, \"share_within_group\": 0.20367679743115127}, {\"nom_3\": \"Finland\", \"nom_7\": \"3f0057c9b\", \"total_measure\": 226.0, \"share_within_group\": 0.20348078187040256}, {\"nom_3\": \"China\", \"nom_7\": \"fcf2b8dce\", \"total_measure\": 280.0, \"share_within_group\": 0.20248917044525921}, {\"nom_3\": \"Costa Rica\", \"nom_7\": \"c6dfa929a\", \"total_measure\": 219.0, \"share_within_group\": 0.2019680355611299}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 341.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7b7a2c0ac3fc895c67ed2870c58b84ebb847b266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:35:39.502448+00:00", + "ended_at": "2026-05-19T15:35:55.428951+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_8022064a305ee515", + "problem_id": "v2p_c14_9d580050a23b116f", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_3, measure_col=day.", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "item_col": "nom_7", + "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": 3.64, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_8022064a305ee515.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8022064a305ee515", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 684, + "total_tokens": 16709, + "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": 15565.64, + "sql_execution_elapsed_ms_total": 341.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/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_d/c14/artifacts/v2q_c14_8022064a305ee515/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e5b3354ca28b46bb894b5884d3a32ae4d516f2e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:55.085061+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15565.64, "started_at": "2026-05-19T15:35:39.518445+00:00", "ended_at": "2026-05-19T15:35:55.084117+00:00", "prompt_metrics": {"chars": 12083, "bytes_utf8": 12083, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 529, "bytes_utf8": 529, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 684, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_3\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"nom_3\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\",\"notes\":\"Applied the requested Within-Group Share of Total template with \\\"nom_3\\\" as the group, \\\"nom_7\\\" as the item, and \\\"day\\\" cast to REAL for aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6fb3cfd4345a084f7f6699728f381e1ba36e238a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8022064a305ee515", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 14720, + "output_tokens": 684, + "total_tokens": 16709, + "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": 15565.64, + "sql_execution_elapsed_ms_total": 341.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8022064a305ee515/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_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b3478e2b28d1c043d2009bc278f238006590427 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11860, "bytes_utf8": 11860, "lines": 396, "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": 936, "bytes_utf8": 936, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 12032, "output_tokens": 2574, "reasoning_output_tokens": 2275}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..82a79f19718267ceb08b3183cfbb019d450ba713 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_86f5a17122e8fd93", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 2574, + "total_tokens": 18518, + "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": 41067.9, + "sql_execution_elapsed_ms_total": 251.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/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_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..454a180895114d78553488a09a93b7448e7173cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/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": "2026-05-19T16:02:44.035886+00:00", + "ended_at": "2026-05-19T16:03:25.103811+00:00", + "elapsed_ms": 41067.9, + "prompt_metrics": { + "chars": 11860, + "bytes_utf8": 11860, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1385, + "bytes_utf8": 1385, + "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": 936, + "bytes_utf8": 936, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 2574, + "reasoning_output_tokens": 2275 + } + }, + "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_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f72d7a6280c3b339825413ae27ee86eb1b79438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_2", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..12c926f4f9f236b8822a4bb142e538cf5df24863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-a9f3-7860-bfc2-5333a56dd775"} +{"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 \\\"bin_2\\\",\\n CAST(\\\"id\\\" AS INTEGER) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_2\\\"\\n ORDER BY CAST(\\\"id\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"bin_2\\\") AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"target\\\" = '1'\\n)\\nSELECT\\n \\\"bin_2\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"rn\\\" = (\\n CAST((0.95 * \\\"cnt\\\") AS INTEGER) +\\n CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END\\n )\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile approximation per \\\"bin_2\\\" group on CAST(\\\"id\\\" AS INTEGER). It applies a focused target view with \\\"target\\\" = '1' and keeps only groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":12032,"output_tokens":2574,"reasoning_output_tokens":2275}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a78c93309f1a1e36903d2860bba20c7b83c1bf23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"bin_2\",\n CAST(\"id\" AS INTEGER) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"bin_2\"\n ORDER BY CAST(\"id\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"bin_2\") AS \"cnt\"\n FROM \"c14\"\n WHERE \"target\" = '1'\n)\nSELECT\n \"bin_2\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cnt\" >= 5\n AND \"rn\" = (\n CAST((0.95 * \"cnt\") AS INTEGER) +\n CASE\n WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN 1\n ELSE 0\n END\n )\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile approximation per \"bin_2\" group on CAST(\"id\" AS INTEGER). It applies a focused target view with \"target\" = '1' and keeps only groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_86f5a17122e8fd93/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ca448678404dfb4fdf08f09e58a9b1a83b3865e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_0, measure_col=id. +Result preview: [{"bin_0": "0", "total_measure": 39283525074}, {"bin_0": "1", "total_measure": 5716324926}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..82285f3817c9675d69fb7a8883e0aa8d053b6e74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_88f5f656736285ad +-- problem_id: v2p_c14_5efcf023c297faa5 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_0", SUM(CAST("id" AS NUMERIC)) AS "total_measure" +FROM "c14" +GROUP BY "bin_0" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..212caef395bffbe0657319dc9da0a0dae7d76040 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_0\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"bin_0\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"bin_0\", \"total_measure\"], \"rows\": [{\"bin_0\": \"0\", \"total_measure\": 39283525074}, {\"bin_0\": \"1\", \"total_measure\": 5716324926}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 136.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a7686d0a5e56982d5de8273a01daf349c692508b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:28:30.037195+00:00", + "ended_at": "2026-05-19T15:28:41.066489+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_88f5f656736285ad", + "problem_id": "v2p_c14_5efcf023c297faa5", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_0, measure_col=id.", + "bindings": { + "group_col": "bin_0", + "measure_col": "id", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_88f5f656736285ad.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_88f5f656736285ad", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 567, + "total_tokens": 16473, + "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": 10873.85, + "sql_execution_elapsed_ms_total": 136.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/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_d/c14/artifacts/v2q_c14_88f5f656736285ad/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b307c77b6be32df5507adce8001001d424c9d8ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:40.927960+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10873.85, "started_at": "2026-05-19T15:28:30.053091+00:00", "ended_at": "2026-05-19T15:28:40.926974+00:00", "prompt_metrics": {"chars": 11683, "bytes_utf8": 11683, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 383, "bytes_utf8": 383, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 567, "reasoning_output_tokens": 453}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned template with group_col=\\\"bin_0\\\" and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS NUMERIC) was added because the schema stores \\\"id\\\" as TEXT while the template requires a numeric sum.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a3cbc5aed5525ee11c2a2ebfd5f9f5d75a73586b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_88f5f656736285ad", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 567, + "total_tokens": 16473, + "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": 10873.85, + "sql_execution_elapsed_ms_total": 136.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_88f5f656736285ad/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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0d01b12d1a0f25371ef622e6fbde60fb0fcab1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/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": "2026-05-19T16:03:25.374880+00:00", + "ended_at": "2026-05-19T16:03:28.429918+00:00", + "elapsed_ms": 3055.01, + "returncode": 1, + "prompt_metrics": { + "chars": 11861, + "bytes_utf8": 11861, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a44afd57c83caaeb96df3d4b9d98b87998450f4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/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": "2026-05-19T16:03:29.432102+00:00", + "ended_at": "2026-05-19T16:03:32.775964+00:00", + "elapsed_ms": 3343.83, + "returncode": 1, + "prompt_metrics": { + "chars": 11861, + "bytes_utf8": 11861, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..349caddbec7d95ad31f82af687773faa772bacba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_2", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..349caddbec7d95ad31f82af687773faa772bacba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=bin_2, measure_col=id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_2", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..467b50a4a8d716eec233c22a5082b50e27ad8e7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-4b45-7a93-b26d-3d50ddfeba1c"} +{"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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bfec4e1c4efde82ce9ee2c133fbd2d951dd7ef8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-4b45-7a93-b26d-3d50ddfeba1c"} +{"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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29134139fb1ba054598f08e87b159077a6a4150d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5b24-70c1-9da4-f050c80016f7"} +{"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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb138540c5ae406f6728b2689d17e3ddffddce45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5b24-70c1-9da4-f050c80016f7"} +{"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_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8a53d8b41e086647/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6c614b6cb28ec4976430340ab32805a19ff1523 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_3, measure_col=month. +Result preview: [{"bin_3": "T", "total_measure": 886486}, {"bin_3": "F", "total_measure": 844848}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6b6ad9f876437508b8113523b8e6d2a5214cac67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_8bb1acc3c438df88 +-- problem_id: v2p_c14_b186b149609f0125 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_3", SUM(CAST("month" AS INTEGER)) AS total_measure +FROM "c14" +GROUP BY "bin_3" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19f56b6c9b56b35f4f59fc20c982871cf45130d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_3\", SUM(CAST(\"month\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"bin_3\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_3\\\", SUM(CAST(\\\"month\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"bin_3\", \"total_measure\"], \"rows\": [{\"bin_3\": \"T\", \"total_measure\": 886486}, {\"bin_3\": \"F\", \"total_measure\": 844848}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 137.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2ebceffddf3592ffb6c47bd87fefb0c6770ecd9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:29:19.188718+00:00", + "ended_at": "2026-05-19T15:29:28.433629+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_8bb1acc3c438df88", + "problem_id": "v2p_c14_b186b149609f0125", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_3, measure_col=month.", + "bindings": { + "group_col": "bin_3", + "measure_col": "month", + "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": 9.0, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_8bb1acc3c438df88.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8bb1acc3c438df88", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 4480, + "output_tokens": 385, + "total_tokens": 16291, + "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": 9088.99, + "sql_execution_elapsed_ms_total": 137.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/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_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f20ac7ce273969d93989a8d46eb2bbd120dd01c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:28.294284+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9088.99, "started_at": "2026-05-19T15:29:19.204509+00:00", "ended_at": "2026-05-19T15:29:28.293524+00:00", "prompt_metrics": {"chars": 11681, "bytes_utf8": 11681, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 4480, "output_tokens": 385, "reasoning_output_tokens": 288}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_3\\\", SUM(CAST(\\\"month\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with \\\"bin_3\\\" as the grouping column and casts \\\"month\\\" from TEXT to INTEGER so SQLite sums numeric month values correctly.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..82a1d343cbbb5fc948a2f87fb6f0dc7e8faf5f1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8bb1acc3c438df88", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 4480, + "output_tokens": 385, + "total_tokens": 16291, + "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": 9088.99, + "sql_execution_elapsed_ms_total": 137.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bb1acc3c438df88/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_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b5132cbe91aca2b74409e599f1cf7dde2f0de084 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12515, "bytes_utf8": 12515, "lines": 399, "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": 16126, "cached_input_tokens": 12032, "output_tokens": 407, "reasoning_output_tokens": 212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9f50861c3843f9a791dd1d3f9faee9fc202ec2f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8bdba14773f11211", + "api_calls": 0, + "input_tokens": 16126, + "cached_input_tokens": 12032, + "output_tokens": 407, + "total_tokens": 16533, + "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": 10100.94, + "sql_execution_elapsed_ms_total": 162.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/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_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..48ff282c93ef8f0662aabf26432b8529e73a34ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/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": "2026-05-19T15:40:17.907258+00:00", + "ended_at": "2026-05-19T15:40:28.008227+00:00", + "elapsed_ms": 10100.94, + "prompt_metrics": { + "chars": 12515, + "bytes_utf8": 12515, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1032, + "bytes_utf8": 1032, + "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": 16126, + "cached_input_tokens": 12032, + "output_tokens": 407, + "reasoning_output_tokens": 212 + } + }, + "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_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41b813f521f4619c419c3709ccdb2f1a0b7726ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_0, condition_col=nom_1.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_0", + "condition_col": "nom_1", + "condition_value": "Trapezoid", + "positive_value": "Trapezoid", + "negative_value": "Polygon", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..90a2ba7db7acfa710baedca3a1a2350819ff9832 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-1f8f-7001-9e17-c1efe9217b00"} +{"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\\n \\\"bin_0\\\",\\n SUM(CASE WHEN \\\"nom_1\\\" = 'Trapezoid' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"nom_1\\\" = 'Polygon' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_0\\\"\\n)\\nSELECT\\n \\\"bin_0\\\",\\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=\\\"bin_0\\\" and condition_col=\\\"nom_1\\\", computing the ratio of Trapezoid counts to Polygon counts per bin_0 group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16126,"cached_input_tokens":12032,"output_tokens":407,"reasoning_output_tokens":212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3c5b29c3930578b06d51a67e60a1b6878766042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"bin_0\",\n SUM(CASE WHEN \"nom_1\" = 'Trapezoid' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"nom_1\" = 'Polygon' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"bin_0\"\n)\nSELECT\n \"bin_0\",\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=\"bin_0\" and condition_col=\"nom_1\", computing the ratio of Trapezoid counts to Polygon counts per bin_0 group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8bdba14773f11211/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c428473ca9b5b37c7e8f42ec283ce1f059b11f03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 261749, "support_share": 0.8724966666666667, "cumulative_support": 261749}, {"value_label": "1", "support": 38251, "support_share": 0.12750333333333333, "cumulative_support": 300000}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..29252f4a5307fc5a43ef3046f1afc6b8e2ec0263 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c14_8cb1d9ddb89379a3 +-- problem_id: v2p_c14_fe96cf6d214d5ceb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "bin_0" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "bin_0" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc5eded98c098053b7e57477abbac35789ea469c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c14_8cb1d9ddb89379a3\n-- problem_id: v2p_c14_fe96cf6d214d5ceb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"bin_0\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"bin_0\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c14_8cb1d9ddb89379a3\\n-- problem_id: v2p_c14_fe96cf6d214d5ceb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"bin_0\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_0\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 261749, \"support_share\": 0.8724966666666667, \"cumulative_support\": 261749}, {\"value_label\": \"1\", \"support\": 38251, \"support_share\": 0.12750333333333333, \"cumulative_support\": 300000}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 110.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..df23dd61aa33914ae6ceccaec5e51a3053f09ac4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:53.614307+00:00", + "ended_at": "2026-05-19T16:12:53.727439+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_8cb1d9ddb89379a3", + "problem_id": "v2p_c14_fe96cf6d214d5ceb", + "dataset_id": "c14", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=bin_0.", + "bindings": { + "group_col": "bin_0" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_8cb1d9ddb89379a3.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8cb1d9ddb89379a3/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb51f7178fc4c6464bd05060748c0dd7d9c4ee12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11678, "bytes_utf8": 11678, "lines": 396, "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": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 390, "reasoning_output_tokens": 283}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8e0b85f4b645e56b8fa77a8f88fd7834fe016e21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8dd8adff50ba30cd", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 390, + "total_tokens": 16296, + "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": 10295.54, + "sql_execution_elapsed_ms_total": 132.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/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_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2b0ab021c27e7cd96e478915a5144d7c8a79956f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/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": "2026-05-19T15:28:59.864435+00:00", + "ended_at": "2026-05-19T15:29:10.160036+00:00", + "elapsed_ms": 10295.54, + "prompt_metrics": { + "chars": 11678, + "bytes_utf8": 11678, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 714, + "bytes_utf8": 714, + "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": 342, + "bytes_utf8": 342, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 390, + "reasoning_output_tokens": 283 + } + }, + "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_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3e5f1918022b5b6f3c9f47e1c8023cfe055bc25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_2, measure_col=day.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_2", + "measure_col": "day", + "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": "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_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5be75f945f5fa31dc116521a806bb3a5955daf43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-c6f8-7023-ae2e-0a57fc21a293"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"bin_2\\\",\\n SUM(CAST(\\\"day\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"bin_2\\\" and measure_col=\\\"day\\\". CAST(\\\"day\\\" AS INTEGER) because the schema stores \\\"day\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":390,"reasoning_output_tokens":283}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e92895b33d725e33967bd521d6e7616a4a8b9022 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"bin_2\",\n SUM(CAST(\"day\" AS INTEGER)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"bin_2\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required template with group_col=\"bin_2\" and measure_col=\"day\". CAST(\"day\" AS INTEGER) because the schema stores \"day\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8dd8adff50ba30cd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bf9011c716ecae7c84f70ea74fd89398a970c81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=day, measure_col=ord_0. +Result preview: [{"day": "6", "nom_6": "788ba7aea", "total_measure": 12.0, "share_within_group": 0.8968609865470852}, {"day": "6", "nom_6": "4b967eac4", "total_measure": 11.0, "share_within_group": 0.8221225710014948}, {"day": "6", "nom_6": "a028c07af", "total_measure": 11.0, "share_within_group": 0.8221225710014948}, {"day": "6", "nom_6": "acf5b10dd", "total_measure": 11.0, "share_within_group": 0.8221225710014948}, {"day": "6", "nom_6": "cd94f29d1", "total_measure": 11.0, "share_within_group": 0.8221225710014948}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c052866c14643d19ab2ffba80099f3368270640c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_8e1fb28056f22c2f +-- problem_id: v2p_c14_91510266668fa8fb +-- realization_mode: agent +-- source_kind: agent +SELECT "day", "nom_6", + SUM(CAST("ord_0" AS REAL)) AS total_measure, + SUM(CAST("ord_0" AS REAL)) * 100.0 / SUM(SUM(CAST("ord_0" AS REAL))) OVER (PARTITION BY "day") AS share_within_group +FROM "c14" +GROUP BY "day", "nom_6" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cef54e7b92b82ec0d67915f2d5fe249c10539bac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"day\", \"nom_6\",\n SUM(CAST(\"ord_0\" AS REAL)) AS total_measure,\n SUM(CAST(\"ord_0\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"ord_0\" AS REAL))) OVER (PARTITION BY \"day\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"day\", \"nom_6\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"day\\\", \\\"nom_6\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"day\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"day\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"day\", \"nom_6\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"day\": \"6\", \"nom_6\": \"788ba7aea\", \"total_measure\": 12.0, \"share_within_group\": 0.8968609865470852}, {\"day\": \"6\", \"nom_6\": \"4b967eac4\", \"total_measure\": 11.0, \"share_within_group\": 0.8221225710014948}, {\"day\": \"6\", \"nom_6\": \"a028c07af\", \"total_measure\": 11.0, \"share_within_group\": 0.8221225710014948}, {\"day\": \"6\", \"nom_6\": \"acf5b10dd\", \"total_measure\": 11.0, \"share_within_group\": 0.8221225710014948}, {\"day\": \"6\", \"nom_6\": \"cd94f29d1\", \"total_measure\": 11.0, \"share_within_group\": 0.8221225710014948}, {\"day\": \"6\", \"nom_6\": \"32be571ee\", \"total_measure\": 10.0, \"share_within_group\": 0.7473841554559043}, {\"day\": \"6\", \"nom_6\": \"3aa0689eb\", \"total_measure\": 10.0, \"share_within_group\": 0.7473841554559043}, {\"day\": \"6\", \"nom_6\": \"7e240024b\", \"total_measure\": 10.0, \"share_within_group\": 0.7473841554559043}, {\"day\": \"6\", \"nom_6\": \"966f4a973\", \"total_measure\": 10.0, \"share_within_group\": 0.7473841554559043}, {\"day\": \"6\", \"nom_6\": \"dc0536549\", \"total_measure\": 10.0, \"share_within_group\": 0.7473841554559043}, {\"day\": \"6\", \"nom_6\": \"0302f1ffc\", \"total_measure\": 9.0, \"share_within_group\": 0.672645739910314}, {\"day\": \"6\", \"nom_6\": \"29b650229\", \"total_measure\": 9.0, \"share_within_group\": 0.672645739910314}, {\"day\": \"6\", \"nom_6\": \"642fcc7be\", \"total_measure\": 9.0, \"share_within_group\": 0.672645739910314}, {\"day\": \"6\", \"nom_6\": \"b48077cc4\", \"total_measure\": 9.0, \"share_within_group\": 0.672645739910314}, {\"day\": \"6\", \"nom_6\": \"e16557b2b\", \"total_measure\": 9.0, \"share_within_group\": 0.672645739910314}, {\"day\": \"6\", \"nom_6\": \"0bcb379d8\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"1fe17a1fd\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"2eadb68c5\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"32b4b12b1\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"4e6cc8696\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"5a5e620b3\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"705cb7579\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"8fb440e53\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"a148d86df\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"a20513779\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"a78e38dad\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"e550bcc1b\", \"total_measure\": 8.0, \"share_within_group\": 0.5979073243647235}, {\"day\": \"6\", \"nom_6\": \"0e2f036b5\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"1ab5e5ad6\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"2268327b2\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"292dea6ab\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"2c7fb8434\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"55a24a71b\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"57aa15561\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"6046454de\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"9218550d8\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"c135cdf77\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"d213f48ed\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"d6f8634af\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"d9e131846\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"df5b440ae\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"e7073f6a2\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"f14fe8bc5\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"6\", \"nom_6\": \"fd9370b9e\", \"total_measure\": 7.0, \"share_within_group\": 0.523168908819133}, {\"day\": \"5\", \"nom_6\": \"d213f48ed\", \"total_measure\": 131.0, \"share_within_group\": 0.4976258309591643}, {\"day\": \"5\", \"nom_6\": \"5cbbea089\", \"total_measure\": 119.0, \"share_within_group\": 0.4520417853751187}, {\"day\": \"5\", \"nom_6\": \"c9eedfbc2\", \"total_measure\": 119.0, \"share_within_group\": 0.4520417853751187}, {\"day\": \"7\", \"nom_6\": \"9448b8e3b\", \"total_measure\": 219.0, \"share_within_group\": 0.4493874787105247}, {\"day\": \"6\", \"nom_6\": \"0aeb8fe13\", \"total_measure\": 6.0, \"share_within_group\": 0.4484304932735426}, {\"day\": \"6\", \"nom_6\": \"116d9fcd9\", \"total_measure\": 6.0, \"share_within_group\": 0.4484304932735426}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 321.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fad2af763abe96779c86142ecf91a354b5891873 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:39:02.433525+00:00", + "ended_at": "2026-05-19T15:39:21.072929+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_8e1fb28056f22c2f", + "problem_id": "v2p_c14_91510266668fa8fb", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=day, measure_col=ord_0.", + "bindings": { + "group_col": "day", + "measure_col": "ord_0", + "item_col": "nom_6", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_8e1fb28056f22c2f.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8e1fb28056f22c2f", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 823, + "total_tokens": 16848, + "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": 18296.81, + "sql_execution_elapsed_ms_total": 321.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/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_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..07fd321c3693f3ef36b3ce5028b85cfe87fe0888 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:20.748397+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18296.81, "started_at": "2026-05-19T15:39:02.450273+00:00", "ended_at": "2026-05-19T15:39:20.747118+00:00", "prompt_metrics": {"chars": 12080, "bytes_utf8": 12080, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 536, "bytes_utf8": 536, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 12032, "output_tokens": 823, "reasoning_output_tokens": 653}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"day\\\", \\\"nom_6\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"ord_0\\\" AS REAL))) OVER (PARTITION BY \\\"day\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"day\\\", \\\"nom_6\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"day\\\", item_col=\\\"nom_6\\\", and measure_col=\\\"ord_0\\\". CAST is used because \\\"ord_0\\\" is stored as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c429e8a35538d3fc5341a2634c50ff385a4ba955 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_8e1fb28056f22c2f", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 823, + "total_tokens": 16848, + "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": 18296.81, + "sql_execution_elapsed_ms_total": 321.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_8e1fb28056f22c2f/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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..05a7822bd51155b26172818b035d6944b6221e13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/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": "2026-05-19T16:08:18.382914+00:00", + "ended_at": "2026-05-19T16:08:21.294798+00:00", + "elapsed_ms": 2911.85, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eada11c8880e8f35be3a13acdc5b37f9331d783c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/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": "2026-05-19T16:08:22.297078+00:00", + "ended_at": "2026-05-19T16:08:25.076614+00:00", + "elapsed_ms": 2779.5, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..925e99118eb26cbb55d2f98c44c7e354190fe9b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "month", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..925e99118eb26cbb55d2f98c44c7e354190fe9b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "month", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a6eff19c872bc3a9f987693bf08f9f59e7882cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c3c8-7060-808b-d15f78adba1f"} +{"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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c6b6d8246bec6738a63ed6b65d3ff160d0fe9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c3c8-7060-808b-d15f78adba1f"} +{"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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a62b2f664f84a944e2692de5f0b17df0b2ded4ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d30c-7590-a22c-765d2a4076a5"} +{"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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..25f56feb37edf46b25e0a5b69819bc78e2075de1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d30c-7590-a22c-765d2a4076a5"} +{"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_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92c5e235f6de94b6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..180c2c276d316f4851006db7b62c6590e88aa346 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Trapezoid", "support": 101181, "support_share": 0.33727, "support_rank": 1}, {"value_label": "Square", "support": 49597, "support_share": 0.16532333333333332, "support_rank": 2}, {"value_label": "Star", "support": 45904, "support_share": 0.15301333333333333, "support_rank": 3}, {"value_label": "Circle", "support": 37320, "support_share": 0.1244, "support_rank": 4}, {"value_label": "Polygon", "support": 36143, "support_share": 0.12047666666666666, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aa1f34407db18dcfb05b50b40dd59d3ee0b827d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c14_92e6fcaf7cb83e7d +-- problem_id: v2p_c14_76d10ef48b196263 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "nom_1" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "nom_1" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1b726cbd6be9c5a69a7ca813b4880eedbcc0468 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_92e6fcaf7cb83e7d\n-- problem_id: v2p_c14_76d10ef48b196263\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"nom_1\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"nom_1\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_92e6fcaf7cb83e7d\\n-- problem_id: v2p_c14_76d10ef48b196263\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"nom_1\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Trapezoid\", \"support\": 101181, \"support_share\": 0.33727, \"support_rank\": 1}, {\"value_label\": \"Square\", \"support\": 49597, \"support_share\": 0.16532333333333332, \"support_rank\": 2}, {\"value_label\": \"Star\", \"support\": 45904, \"support_share\": 0.15301333333333333, \"support_rank\": 3}, {\"value_label\": \"Circle\", \"support\": 37320, \"support_share\": 0.1244, \"support_rank\": 4}, {\"value_label\": \"Polygon\", \"support\": 36143, \"support_share\": 0.12047666666666666, \"support_rank\": 5}, {\"value_label\": \"Triangle\", \"support\": 29855, \"support_share\": 0.09951666666666667, \"support_rank\": 6}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 154.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f811e798fce56e1b30e803c53bbf1e08dfd3f438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:55.809619+00:00", + "ended_at": "2026-05-19T16:12:55.965389+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_92e6fcaf7cb83e7d", + "problem_id": "v2p_c14_76d10ef48b196263", + "dataset_id": "c14", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=nom_1.", + "bindings": { + "group_col": "nom_1" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_92e6fcaf7cb83e7d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_92e6fcaf7cb83e7d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..35e8f8f62628dee24f0fb6487670e60bb2ee0e66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:09:54.242514+00:00", + "ended_at": "2026-05-19T16:10:02.258062+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_9498360181dcf12c", + "problem_id": "v2p_c14_d11fd392a6a688c0", + "dataset_id": "c14", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=target.", + "bindings": { + "group_col": "target", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa80be5ba1ed436ff926c28cc60185d04d800710 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9498360181dcf12c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:57.630835+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3365.19, "started_at": "2026-05-19T16:09:54.264753+00:00", "ended_at": "2026-05-19T16:09:57.629975+00:00", "prompt_metrics": {"chars": 11679, "bytes_utf8": 11679, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-3a60-7440-b8dd-e42543824f56\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:02.257938+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3625.23, "started_at": "2026-05-19T16:09:58.631807+00:00", "ended_at": "2026-05-19T16:10:02.257066+00:00", "prompt_metrics": {"chars": 11679, "bytes_utf8": 11679, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-4b7b-7512-a208-c964aac227c9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..07a36324c62b4463d7c7998ef963d707dfd81ec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:11:08.327946+00:00", + "ended_at": "2026-05-19T16:11:15.708322+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_9626bd8e88c36216", + "problem_id": "v2p_c14_4ef03f123c7f4048", + "dataset_id": "c14", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_3, measure_col=day.", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "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": 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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c0834c64e5e120a5a436f390d96543ff8021940c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9626bd8e88c36216/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:11.524399+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3179.2, "started_at": "2026-05-19T16:11:08.344411+00:00", "ended_at": "2026-05-19T16:11:11.523646+00:00", "prompt_metrics": {"chars": 11764, "bytes_utf8": 11764, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-5bb9-7161-9d09-5d52fdad7745\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:11:15.708232+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3181.33, "started_at": "2026-05-19T16:11:12.526081+00:00", "ended_at": "2026-05-19T16:11:15.707461+00:00", "prompt_metrics": {"chars": 11764, "bytes_utf8": 11764, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-6c1a-7db1-84fa-e3061f1d0843\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3d20c49aa0e2d7f85f31d16912c8a153d27e68f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_4, condition_col=ord_0. +Result preview: [{"bin_4": "N", "condition_ratio": 2.9429072975006267}, {"bin_4": "Y", "condition_ratio": 2.927032367331577}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..55cfec3f01dfade53267cc86c34caad2b66ddcff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_c14_9743b3a91363e297 +-- problem_id: v2p_c14_83c8ff7c1fbec2b9 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "bin_4", + SUM(CASE WHEN "ord_0" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ord_0" = '2' THEN 1 ELSE 0 END) AS denominator_count + FROM "c14" + GROUP BY "bin_4" +) +SELECT "bin_4", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38740c96709b96d415f7939463ae56e9eb5f8918 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_4\",\n SUM(CASE WHEN \"ord_0\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ord_0\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"bin_4\"\n)\nSELECT \"bin_4\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\",\\n SUM(CASE WHEN \\\"ord_0\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_0\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_4\\\"\\n)\\nSELECT \\\"bin_4\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"bin_4\", \"condition_ratio\"], \"rows\": [{\"bin_4\": \"N\", \"condition_ratio\": 2.9429072975006267}, {\"bin_4\": \"Y\", \"condition_ratio\": 2.927032367331577}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 149.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d9fb6abb88e42376dc01747fbef2b854b5439c01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:41:50.371421+00:00", + "ended_at": "2026-05-19T15:42:01.777875+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_9743b3a91363e297", + "problem_id": "v2p_c14_83c8ff7c1fbec2b9", + "dataset_id": "c14", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_4, condition_col=ord_0.", + "bindings": { + "group_col": "bin_4", + "condition_col": "ord_0", + "condition_value": "1", + "positive_value": "1", + "negative_value": "2", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=40" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_9743b3a91363e297.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9743b3a91363e297", + "api_calls": 0, + "input_tokens": 16120, + "cached_input_tokens": 14720, + "output_tokens": 355, + "total_tokens": 16475, + "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": 11237.76, + "sql_execution_elapsed_ms_total": 149.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/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_d/c14/artifacts/v2q_c14_9743b3a91363e297/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..859a53fbfc108c4b9dc9310f51357a573c43501c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:01.626437+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11237.76, "started_at": "2026-05-19T15:41:50.387785+00:00", "ended_at": "2026-05-19T15:42:01.625571+00:00", "prompt_metrics": {"chars": 12493, "bytes_utf8": 12493, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16120, "cached_input_tokens": 14720, "output_tokens": 355, "reasoning_output_tokens": 161}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\",\\n SUM(CASE WHEN \\\"ord_0\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_0\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_4\\\"\\n)\\nSELECT \\\"bin_4\\\",\\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=\\\"bin_4\\\" and condition_col=\\\"ord_0\\\", computing the ratio of ord_0='1' to ord_0='2' within each bin_4 group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8fcd8adcc064255c83620a77893edaa1eda65a6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9743b3a91363e297", + "api_calls": 0, + "input_tokens": 16120, + "cached_input_tokens": 14720, + "output_tokens": 355, + "total_tokens": 16475, + "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": 11237.76, + "sql_execution_elapsed_ms_total": 149.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9743b3a91363e297/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_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..801835d6c7fc40aa19df82f9e58422d48f07d121 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12092, "bytes_utf8": 12092, "lines": 398, "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": 680, "bytes_utf8": 680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 730, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..adc05c96dc5bc6ffa45f22b5ed67e3751379fce4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_97a860d91102ffd5", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 730, + "total_tokens": 16756, + "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": 14547.83, + "sql_execution_elapsed_ms_total": 351.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/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_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf42f38bf45fc781c7c11191afa1593c57c99534 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/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": "2026-05-19T15:36:12.810104+00:00", + "ended_at": "2026-05-19T15:36:27.357962+00:00", + "elapsed_ms": 14547.83, + "prompt_metrics": { + "chars": 12092, + "bytes_utf8": 12092, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1105, + "bytes_utf8": 1105, + "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": 680, + "bytes_utf8": 680, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 730, + "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_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3a343690d565fe2e621e08a421253e23e24d8e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_4, measure_col=month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "item_col": "nom_8", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a9ce29c189b9a714df6bebb9fc6841c5bd9fa91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-6214-7a22-92fa-58092b1a6900"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"group_item_totals\\\" AS (\\n SELECT\\n \\\"nom_4\\\",\\n \\\"nom_8\\\",\\n SUM(CAST(\\\"month\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_4\\\", \\\"nom_8\\\"\\n)\\nSELECT\\n \\\"nom_4\\\",\\n \\\"nom_8\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"nom_4\\\") AS \\\"share_within_group\\\"\\nFROM \\\"group_item_totals\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"nom_4\\\", item_col=\\\"nom_8\\\", and measure_col=\\\"month\\\". CAST is added because \\\"month\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16026,"cached_input_tokens":12032,"output_tokens":730,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6d4ede6895e0702452d21bea2f39dd9b65c01b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nWITH \"group_item_totals\" AS (\n SELECT\n \"nom_4\",\n \"nom_8\",\n SUM(CAST(\"month\" AS REAL)) AS \"total_measure\"\n FROM \"c14\"\n GROUP BY \"nom_4\", \"nom_8\"\n)\nSELECT\n \"nom_4\",\n \"nom_8\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"nom_4\") AS \"share_within_group\"\nFROM \"group_item_totals\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the planned Within-Group Share of Total template with group_col=\"nom_4\", item_col=\"nom_8\", and measure_col=\"month\". CAST is added because \"month\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_97a860d91102ffd5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..df035b510720cd5d54a153c26f479ab66a2b970c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/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": "2026-05-19T16:11:15.727220+00:00", + "ended_at": "2026-05-19T16:11:18.965055+00:00", + "elapsed_ms": 3237.81, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..485ee75117e00098c4aec8f434ad16399b16f0a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/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": "2026-05-19T16:11:19.967403+00:00", + "ended_at": "2026-05-19T16:11:23.364778+00:00", + "elapsed_ms": 3397.33, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b51193960b6b4183f7797b4362eb5909cc57f5a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=nom_3, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "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": 3.64, + "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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b51193960b6b4183f7797b4362eb5909cc57f5a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=nom_3, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "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": 3.64, + "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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b21cf66b5d98e0102464811b327d12ef45ca1006 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-7892-7533-857f-891203bb4cfa"} +{"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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..90983ecec9e57804ee09eac9b10294aa7c2b3606 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-7892-7533-857f-891203bb4cfa"} +{"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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d8e073755b41016fa558159aa386a1990e4a1af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-892a-7091-896a-669eef6aae9b"} +{"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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..85cf956bc75ffec07cefc8efaab724135fdf265c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-892a-7091-896a-669eef6aae9b"} +{"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_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_98498717e5f3fee9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f75e03237ce878bebe2a167f6d0f5a42f7f7d30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11956, "bytes_utf8": 11956, "lines": 399, "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": 509, "bytes_utf8": 509, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15977, "cached_input_tokens": 12032, "output_tokens": 499, "reasoning_output_tokens": 350}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d5943e35d32c02f9bd11a6cf876fe6f9ef27450d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9887c2fff7c62035", + "api_calls": 0, + "input_tokens": 15977, + "cached_input_tokens": 12032, + "output_tokens": 499, + "total_tokens": 16476, + "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": 10945.72, + "sql_execution_elapsed_ms_total": 153.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/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_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3a9ed0474b9f3211b493b33d33f764eb213ac32e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/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": "2026-05-19T16:06:39.799661+00:00", + "ended_at": "2026-05-19T16:06:50.745411+00:00", + "elapsed_ms": 10945.72, + "prompt_metrics": { + "chars": 11956, + "bytes_utf8": 11956, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 876, + "bytes_utf8": 876, + "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": 509, + "bytes_utf8": 509, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15977, + "cached_input_tokens": 12032, + "output_tokens": 499, + "reasoning_output_tokens": 350 + } + }, + "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_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2fa2a30845eef71f05bf36df138133b9e4a9f6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=ord_2, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_2", + "condition_col": "ord_2", + "condition_value": "Boiling Hot", + "positive_value": "Lava Hot", + "negative_value": "Boiling Hot", + "top_k": 17, + "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_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..462cd6cbaf31e8b8ba54984b678d8682376b3525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-42ab-7e41-9420-665144eb71c0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"ord_2\\\",\\n AVG(CASE WHEN \\\"ord_2\\\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with both group and condition bound to \\\"ord_2\\\". Because the grouping column and condition column are the same, the resulting rate is 1.0 for the \\\"Boiling Hot\\\" group and 0.0 for all other non-null \\\"ord_2\\\" groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15977,"cached_input_tokens":12032,"output_tokens":499,"reasoning_output_tokens":350}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..80a49c5b4bb5b258aa4ec367352662e48c006b55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate.\nSELECT \"ord_2\",\n AVG(CASE WHEN \"ord_2\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c14\"\nGROUP BY \"ord_2\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the required Grouped Condition Rate template with both group and condition bound to \"ord_2\". Because the grouping column and condition column are the same, the resulting rate is 1.0 for the \"Boiling Hot\" group and 0.0 for all other non-null \"ord_2\" groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9887c2fff7c62035/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b700d407f2366bf47a457c0cef2aaa4a29f569e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_4, measure_col=id. +Result preview: [{"bin_4": "Y", "group_value": 28742818367}, {"bin_4": "N", "group_value": 16257031633}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..acfc7b9b1e89a23092f1bb8f988b95dfce04a56e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c14_9bc038d8be38cfe0 +-- problem_id: v2p_c14_cc28aeb4a5bcd9cf +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "bin_4", SUM("id") AS "group_value" + FROM "c14" + WHERE "bin_4" IS NOT NULL + AND "id" IS NOT NULL + GROUP BY "bin_4" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."bin_4", g."group_value" +FROM grouped AS g +CROSS JOIN total AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e7b9643cc3df1d2d86df4dd51c291add79812905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_4\", SUM(\"id\") AS \"group_value\"\n FROM \"c14\"\n WHERE \"bin_4\" IS NOT NULL\n AND \"id\" IS NOT NULL\n GROUP BY \"bin_4\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"bin_4\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\", SUM(\\\"id\\\") AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_4\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n GROUP BY \\\"bin_4\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"bin_4\\\", 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;\", \"columns\": [\"bin_4\", \"group_value\"], \"rows\": [{\"bin_4\": \"Y\", \"group_value\": 28742818367}, {\"bin_4\": \"N\", \"group_value\": 16257031633}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 149.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..275a0533c596e83e0883b45b58c7552931923b0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:49:41.383706+00:00", + "ended_at": "2026-05-19T15:49:54.919575+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_9bc038d8be38cfe0", + "problem_id": "v2p_c14_cc28aeb4a5bcd9cf", + "dataset_id": "c14", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_4, measure_col=id.", + "bindings": { + "group_col": "bin_4", + "measure_col": "id", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_9bc038d8be38cfe0.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9bc038d8be38cfe0", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 727, + "total_tokens": 16771, + "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": 13363.55, + "sql_execution_elapsed_ms_total": 149.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/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_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ebb2e23262b45d304f4a1fd330a38c2f5a8d7491 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:54.767013+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13363.55, "started_at": "2026-05-19T15:49:41.401738+00:00", "ended_at": "2026-05-19T15:49:54.765325+00:00", "prompt_metrics": {"chars": 12239, "bytes_utf8": 12239, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 736, "bytes_utf8": 736, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 727, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"bin_4\\\", SUM(\\\"id\\\") AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_4\\\" IS NOT NULL\\n AND \\\"id\\\" IS NOT NULL\\n GROUP BY \\\"bin_4\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"bin_4\\\", 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 provided Relative-to-Total Extreme Threshold template with group_col=\\\"bin_4\\\", measure_col=\\\"id\\\", and fraction_threshold=0.05. \\\"id\\\" is stored as TEXT in the schema, so this relies on SQLite numeric coercion during SUM().\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8fabfb1e0ab2e67f4942f6c3e1ee14ad20d8f284 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9bc038d8be38cfe0", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 727, + "total_tokens": 16771, + "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": 13363.55, + "sql_execution_elapsed_ms_total": 149.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9bc038d8be38cfe0/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_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3951b75f067e3eccbe4bc68f7f74d428c6bc751 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_2, measure_col=day. +Result preview: [{"bin_2": "0", "group_value": 556462.0}, {"bin_2": "1", "group_value": 345883.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a63ade6fd78de7f144e238562b0d6f72a0a1d9b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c14_9c640b151a43eb5b +-- problem_id: v2p_c14_a4711a37eae8ab10 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "bin_2", + SUM(CAST("day" AS REAL)) AS "group_value" + FROM "c14" + GROUP BY "bin_2" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT + g."bin_2", + g."group_value" +FROM grouped AS g +CROSS JOIN total AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ffc4d11c63712be8ce030cf42426268ab3d6a717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"bin_2\",\n SUM(CAST(\"day\" AS REAL)) AS \"group_value\"\n FROM \"c14\"\n GROUP BY \"bin_2\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT\n g.\"bin_2\",\n 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"bin_2\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_2\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"bin_2\\\",\\n 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;\", \"columns\": [\"bin_2\", \"group_value\"], \"rows\": [{\"bin_2\": \"0\", \"group_value\": 556462.0}, {\"bin_2\": \"1\", \"group_value\": 345883.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 142.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3b0c5bd9df5d54744efcc15b36a1ccda8c1f4761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:48:51.449608+00:00", + "ended_at": "2026-05-19T15:49:03.293501+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_9c640b151a43eb5b", + "problem_id": "v2p_c14_a4711a37eae8ab10", + "dataset_id": "c14", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=bin_2, measure_col=day.", + "bindings": { + "group_col": "bin_2", + "measure_col": "day", + "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": 3.64, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_9c640b151a43eb5b.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9c640b151a43eb5b", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 586, + "total_tokens": 16630, + "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": 11682.42, + "sql_execution_elapsed_ms_total": 142.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/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_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..488d10c8dfbb995f70a9342fb39a9a6e543a60d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:03.149631+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11682.42, "started_at": "2026-05-19T15:48:51.466453+00:00", "ended_at": "2026-05-19T15:49:03.148899+00:00", "prompt_metrics": {"chars": 12236, "bytes_utf8": 12236, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 636, "bytes_utf8": 636, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 586, "reasoning_output_tokens": 401}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"bin_2\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_2\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"bin_2\\\",\\n 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 relative-to-total threshold template with group_col=\\\"bin_2\\\" and measure_col=\\\"day\\\", casting \\\"day\\\" from TEXT to REAL before summing.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f40cd93a0f65e6c9c14672a6f078d33eade68f1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_9c640b151a43eb5b", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 586, + "total_tokens": 16630, + "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": 11682.42, + "sql_execution_elapsed_ms_total": 142.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9c640b151a43eb5b/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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ab6d703f60b4d7fb2f0ed9d1d343b458c34b5d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/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": "2026-05-19T16:08:03.901655+00:00", + "ended_at": "2026-05-19T16:08:07.095159+00:00", + "elapsed_ms": 3193.48, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cdfcb759d345c043a109f87399c285a6699e5156 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/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": "2026-05-19T16:08:08.097250+00:00", + "ended_at": "2026-05-19T16:08:10.990118+00:00", + "elapsed_ms": 2892.83, + "returncode": 1, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..169ad96c76f691648e9061c71798782ebdb14e08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ord_0", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..169ad96c76f691648e9061c71798782ebdb14e08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ord_0.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "ord_0", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f1a91b1b21c230f6ce62af967d82500ac163a47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8b3e-7f43-8fd1-dff4a89abeb5"} +{"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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..629751bbbc78cefa9d7931b4ed573a4cb8bb0b14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8b3e-7f43-8fd1-dff4a89abeb5"} +{"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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b05901bcfa3934c8064863eb9702ff3b2495404 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9b93-7e71-b4ce-249632d9db5c"} +{"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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..78e9976707a646f9b488f0d80c5c650fde3654c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9b93-7e71-b4ce-249632d9db5c"} +{"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_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_9eb5a9f7da5484d4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a5a209893c3138dfa779fc43888ddc7dcd96f6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=id. +Result preview: [{"nom_3": "Russia", "total_measure": 15163069271}, {"nom_3": "Canada", "total_measure": 7491046383}, {"nom_3": "China", "total_measure": 6908225661}, {"nom_3": "Finland", "total_measure": 5544804166}, {"nom_3": "Costa Rica", "total_measure": 5390783363}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a000abecde1932b7f00894683560d7ba71d21be4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_a07eae4da5a96122 +-- problem_id: v2p_c14_68e914d0ec5b2249 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_3", SUM(CAST("id" AS INTEGER)) AS total_measure +FROM "c14" +GROUP BY "nom_3" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f3069bfb1c926bb252dd74a6814285bda3888b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"nom_3\", SUM(CAST(\"id\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_3\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"nom_3\", \"total_measure\"], \"rows\": [{\"nom_3\": \"Russia\", \"total_measure\": 15163069271}, {\"nom_3\": \"Canada\", \"total_measure\": 7491046383}, {\"nom_3\": \"China\", \"total_measure\": 6908225661}, {\"nom_3\": \"Finland\", \"total_measure\": 5544804166}, {\"nom_3\": \"Costa Rica\", \"total_measure\": 5390783363}, {\"nom_3\": \"India\", \"total_measure\": 4501921156}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 161.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7a6147b2828038343fd248ac6887f939822a9a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:31:22.484748+00:00", + "ended_at": "2026-05-19T15:31:36.887722+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_a07eae4da5a96122", + "problem_id": "v2p_c14_68e914d0ec5b2249", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_3, measure_col=id.", + "bindings": { + "group_col": "nom_3", + "measure_col": "id", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_a07eae4da5a96122.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a07eae4da5a96122", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 502, + "total_tokens": 16408, + "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": 14221.56, + "sql_execution_elapsed_ms_total": 161.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/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_d/c14/artifacts/v2q_c14_a07eae4da5a96122/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..94c659edf1f705aaba1a2065654f39337cefe8c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:36.724094+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14221.56, "started_at": "2026-05-19T15:31:22.501755+00:00", "ended_at": "2026-05-19T15:31:36.723340+00:00", "prompt_metrics": {"chars": 11681, "bytes_utf8": 11681, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 502, "reasoning_output_tokens": 398}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_3\\\", SUM(CAST(\\\"id\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"nom_3\\\" and measure_col=\\\"id\\\". CAST(\\\"id\\\" AS INTEGER) is applied because the schema stores \\\"id\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5f6a656b09c7de8fb6f85429cbe006b25f1702da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a07eae4da5a96122", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 502, + "total_tokens": 16408, + "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": 14221.56, + "sql_execution_elapsed_ms_total": 161.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a07eae4da5a96122/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_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9cc9a54d17f040cd8ae50dc5497b8699b07d590a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11624, "bytes_utf8": 11624, "lines": 394, "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": 362, "bytes_utf8": 362, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15893, "cached_input_tokens": 12032, "output_tokens": 344, "reasoning_output_tokens": 240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3c7b16e8621acc969d3546e478ad4f86aaee1629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a0ad437f63297a5a", + "api_calls": 0, + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 344, + "total_tokens": 16237, + "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": 10485.35, + "sql_execution_elapsed_ms_total": 55.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/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_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d921d0d4caf263c30cae30e8dce66bd9e3575c5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/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": "2026-05-19T16:07:19.697721+00:00", + "ended_at": "2026-05-19T16:07:30.183116+00:00", + "elapsed_ms": 10485.35, + "prompt_metrics": { + "chars": 11624, + "bytes_utf8": 11624, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 710, + "bytes_utf8": 710, + "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": 362, + "bytes_utf8": 362, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 344, + "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_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..356e1a80e11d7b865178b52341fc087ac3763ac6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3da5586176a2de1a70c4b9613030eee2c6a73cfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-deb9-7fd2-a7b1-99251a12b9d0"} +{"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(\\\"id\\\" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c14\\\";\",\"notes\":\"Used the required Threshold Rarity CDF template on measure_col=\\\"id\\\". CAST is applied because \\\"id\\\" is stored as TEXT in the SQLite schema while the bound threshold is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15893,"cached_input_tokens":12032,"output_tokens":344,"reasoning_output_tokens":240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..03aca527b800fe5f70a8beb3a8bb811dddbaf556 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c14\";","notes":"Used the required Threshold Rarity CDF template on measure_col=\"id\". CAST is applied because \"id\" is stored as TEXT in the SQLite schema while the bound threshold is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a0ad437f63297a5a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4bb21c4226387de72d6b323d5ef0c31bb47b1df8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/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": "2026-05-19T16:12:47.003314+00:00", + "ended_at": "2026-05-19T16:12:49.796178+00:00", + "elapsed_ms": 2792.84, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6bcd01f9fa48adba4361da4ceb3c13a30f45e1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/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": "2026-05-19T16:12:50.798208+00:00", + "ended_at": "2026-05-19T16:12:53.613123+00:00", + "elapsed_ms": 2814.88, + "returncode": 1, + "prompt_metrics": { + "chars": 11767, + "bytes_utf8": 11767, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a6ad57658be66631efd10aab5e59edfe205f167 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_4, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a6ad57658be66631efd10aab5e59edfe205f167 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_4, measure_col=id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_4", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c76f61343be7f49bee0eeea9b665362d0e998bb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-dd12-7c13-8734-f450e71a39fb"} +{"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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fa5cdb4110d4993efad19b82f155abcf5b23ba7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-dd12-7c13-8734-f450e71a39fb"} +{"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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..755a8db4691639efb08db5243ede224f895e5f80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ebf2-7f02-b3f6-6133ae54b8e4"} +{"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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d717ce2f677795cdf79e3e569c9b92836532fbff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-ebf2-7f02-b3f6-6133ae54b8e4"} +{"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_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a11e721b95677085/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ad481b4fcfcc0906fa1716486fb118ea395b0c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month. +Result preview: [{"month": 12}, {"month": 12}, {"month": 12}, {"month": 12}, {"month": 12}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c53cd334b032eff9a3ca0ef6b3e55ae96185ce0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_c14_a280e1b62bcd965f +-- problem_id: v2p_c14_b9198fe56102c44a +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("month" AS INTEGER) AS "month", + NTILE(10) OVER (ORDER BY CAST("month" AS INTEGER) DESC) AS "tail_bucket" + FROM "c14" + WHERE "month" IS NOT NULL +) +SELECT "month" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "month" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6eb4049c23947685f526ef62d05a960139d5ca05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"month\" AS INTEGER) AS \"month\",\n NTILE(10) OVER (ORDER BY CAST(\"month\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n WHERE \"month\" IS NOT NULL\n)\nSELECT \"month\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"month\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"month\\\" AS INTEGER) AS \\\"month\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"month\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n)\\nSELECT \\\"month\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"month\\\" DESC;\", \"columns\": [\"month\"], \"rows\": [{\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}, {\"month\": 12}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 454.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c8d86c8ba572cbe7f831d6f6d018c4966d9dc529 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:47:11.026650+00:00", + "ended_at": "2026-05-19T15:47:28.384862+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_a280e1b62bcd965f", + "problem_id": "v2p_c14_b9198fe56102c44a", + "dataset_id": "c14", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month.", + "bindings": { + "measure_col": "month", + "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": 9.0, + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=67" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_a280e1b62bcd965f.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a280e1b62bcd965f", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 586, + "total_tokens": 16543, + "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": 16869.66, + "sql_execution_elapsed_ms_total": 454.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/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_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..439b933385448d41ab550822cdbf4568de5cbf99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:27.925422+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16869.66, "started_at": "2026-05-19T15:47:11.054709+00:00", "ended_at": "2026-05-19T15:47:27.924409+00:00", "prompt_metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 12032, "output_tokens": 586, "reasoning_output_tokens": 429}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"month\\\" AS INTEGER) AS \\\"month\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"month\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"month\\\" IS NOT NULL\\n)\\nSELECT \\\"month\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"month\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to month and num_tiles=10. CAST is used because \\\"month\\\" is stored as TEXT in SQLite schema, and numeric ordering is needed for a correct upper-tail slice.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0b2a7c117f204ca7e98c176f52aa016470c45cb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a280e1b62bcd965f", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 586, + "total_tokens": 16543, + "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": 16869.66, + "sql_execution_elapsed_ms_total": 454.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a280e1b62bcd965f/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_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0989641fa4df28421ccffb9dc8012bfcbc34bedf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12085, "bytes_utf8": 12085, "lines": 398, "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": 581, "bytes_utf8": 581, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16026, "cached_input_tokens": 12032, "output_tokens": 693, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f4a3fa8058a80d99cd0f0f021060892e778c09b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a2d0d157691b23fa", + "api_calls": 0, + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 693, + "total_tokens": 16719, + "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": 14055.01, + "sql_execution_elapsed_ms_total": 345.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/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_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d0726d876a78bbe27decfbaccf23acbfd2683977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/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": "2026-05-19T15:35:25.097232+00:00", + "ended_at": "2026-05-19T15:35:39.152274+00:00", + "elapsed_ms": 14055.01, + "prompt_metrics": { + "chars": 12085, + "bytes_utf8": 12085, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 965, + "bytes_utf8": 965, + "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": 581, + "bytes_utf8": 581, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16026, + "cached_input_tokens": 12032, + "output_tokens": 693, + "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_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f352a101e49b6c1365c6cd91ceca32c9e436cef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_3, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "nom_3", + "measure_col": "day", + "item_col": "nom_7", + "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_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ddff38100f2d06a52b98e0e8397241f47fb2152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-a7c4-7c53-83f1-67f3a07feef8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_3\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"nom_3\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applies the within-group share template with \\\"nom_3\\\" as the group column, \\\"nom_7\\\" as the item column, and numeric-cast \\\"day\\\" as the measure so each item's percentage contribution is computed within its \\\"nom_3\\\" group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16026,"cached_input_tokens":12032,"output_tokens":693,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e1b5885c900708c10e7ea6d05c4c3950e76c0fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"nom_3\", \"nom_7\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"nom_3\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"nom_3\", \"nom_7\"\nORDER BY share_within_group DESC;","notes":"Applies the within-group share template with \"nom_3\" as the group column, \"nom_7\" as the item column, and numeric-cast \"day\" as the measure so each item's percentage contribution is computed within its \"nom_3\" group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a2d0d157691b23fa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..76c0b1214082c56102954902fb3261aef58af437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_1, measure_col=day. +Result preview: [{"nom_1": "Trapezoid", "total_measure": 305749}, {"nom_1": "Square", "total_measure": 148635}, {"nom_1": "Star", "total_measure": 137468}, {"nom_1": "Circle", "total_measure": 112091}, {"nom_1": "Polygon", "total_measure": 108557}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d88ec575b7b940e5b68ae67a330f31c270128fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_a36a40c09ee45716 +-- problem_id: v2p_c14_271de7166144eb18 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_1", SUM(CAST("day" AS INTEGER)) AS "total_measure" +FROM "c14" +GROUP BY "nom_1" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2f36f826aeae7678afa8a50018b4bcd0e3a3896 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"nom_1\", SUM(CAST(\"day\" AS INTEGER)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"nom_1\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_1\\\", SUM(CAST(\\\"day\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"nom_1\", \"total_measure\"], \"rows\": [{\"nom_1\": \"Trapezoid\", \"total_measure\": 305749}, {\"nom_1\": \"Square\", \"total_measure\": 148635}, {\"nom_1\": \"Star\", \"total_measure\": 137468}, {\"nom_1\": \"Circle\", \"total_measure\": 112091}, {\"nom_1\": \"Polygon\", \"total_measure\": 108557}, {\"nom_1\": \"Triangle\", \"total_measure\": 89845}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 164.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc04d491458294dffdf52b1f30b72c23c0352409 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:30:45.138036+00:00", + "ended_at": "2026-05-19T15:30:54.705218+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_a36a40c09ee45716", + "problem_id": "v2p_c14_271de7166144eb18", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_1, measure_col=day.", + "bindings": { + "group_col": "nom_1", + "measure_col": "day", + "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": 3.64, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_a36a40c09ee45716.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a36a40c09ee45716", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 335, + "total_tokens": 16241, + "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": 9383.64, + "sql_execution_elapsed_ms_total": 164.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/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_d/c14/artifacts/v2q_c14_a36a40c09ee45716/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..253647f6e2a84d013040f56b81be830dc13b2b6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:54.538822+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9383.64, "started_at": "2026-05-19T15:30:45.154426+00:00", "ended_at": "2026-05-19T15:30:54.538100+00:00", "prompt_metrics": {"chars": 11680, "bytes_utf8": 11680, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 335, "reasoning_output_tokens": 230}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_1\\\", SUM(CAST(\\\"day\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with group_col=\\\"nom_1\\\" and measure_col=\\\"day\\\". Cast \\\"day\\\" to INTEGER because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8510232bcb6a6c868c0b7a99b958ec3b7f9fc9e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a36a40c09ee45716", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 335, + "total_tokens": 16241, + "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": 9383.64, + "sql_execution_elapsed_ms_total": 164.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a36a40c09ee45716/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_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..67d6ec6c87d5071de5ff95780676d93076a763e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_0. +Result preview: [{"bin_3": "F", "ord_0": "1", "row_count": 95188}, {"bin_3": "F", "ord_0": "2", "row_count": 32334}, {"bin_3": "F", "ord_0": "3", "row_count": 18943}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1ed6f2f79aae50c0330025f655f044605c4412cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c14_a5773f27f983bd4e +-- problem_id: v2p_c14_f86347c3914d42b7 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_3", "ord_0", COUNT(*) AS row_count +FROM "c14" +WHERE "bin_3" = 'F' +GROUP BY "bin_3", "ord_0" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af58c17b56b418b1308dc6770449c542b82a9648 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_0\", COUNT(*) AS row_count\nFROM \"c14\"\nWHERE \"bin_3\" = 'F'\nGROUP BY \"bin_3\", \"ord_0\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_0\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_3\\\" = 'F'\\nGROUP BY \\\"bin_3\\\", \\\"ord_0\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"bin_3\", \"ord_0\", \"row_count\"], \"rows\": [{\"bin_3\": \"F\", \"ord_0\": \"1\", \"row_count\": 95188}, {\"bin_3\": \"F\", \"ord_0\": \"2\", \"row_count\": 32334}, {\"bin_3\": \"F\", \"ord_0\": \"3\", \"row_count\": 18943}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 150.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad1e79e3e3199079974e76992b72eaf9c38f8111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:44:37.377885+00:00", + "ended_at": "2026-05-19T15:44:47.373821+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_a5773f27f983bd4e", + "problem_id": "v2p_c14_f86347c3914d42b7", + "dataset_id": "c14", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_0.", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_0", + "predicate_col": "bin_3", + "predicate_op": "=", + "predicate_value": "F", + "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": 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 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=54" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_a5773f27f983bd4e.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a5773f27f983bd4e", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 14720, + "output_tokens": 408, + "total_tokens": 16411, + "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": 9826.46, + "sql_execution_elapsed_ms_total": 150.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/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_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9e5b4e63438e2df2f6f03b9848bc95e08a18827d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:47.221441+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9826.46, "started_at": "2026-05-19T15:44:37.393888+00:00", "ended_at": "2026-05-19T15:44:47.220372+00:00", "prompt_metrics": {"chars": 11988, "bytes_utf8": 11988, "lines": 400, "estimated_tokens": null}, "response_metrics": {"chars": 352, "bytes_utf8": 352, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16003, "cached_input_tokens": 14720, "output_tokens": 408, "reasoning_output_tokens": 293}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_0\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_3\\\" = 'F'\\nGROUP BY \\\"bin_3\\\", \\\"ord_0\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template using \\\"bin_3\\\" and \\\"ord_0\\\", with the required filter \\\"bin_3\\\" = 'F'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a97fdf3acb0a59859f6f5d69bdec8b48ff393c93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a5773f27f983bd4e", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 14720, + "output_tokens": 408, + "total_tokens": 16411, + "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": 9826.46, + "sql_execution_elapsed_ms_total": 150.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a5773f27f983bd4e/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_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9998136413d3c2ba31113e94c279c30a7729fc57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12089, "bytes_utf8": 12089, "lines": 398, "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": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16024, "cached_input_tokens": 14720, "output_tokens": 729, "reasoning_output_tokens": 552}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5e4f1ba480842c6b555f7832090f7ca5327ecd3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a6336e184dcb9f5a", + "api_calls": 0, + "input_tokens": 16024, + "cached_input_tokens": 14720, + "output_tokens": 729, + "total_tokens": 16753, + "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": 13377.37, + "sql_execution_elapsed_ms_total": 923.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/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_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1bae119b498342cd345cabdcefe8e5870d2f260a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/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": "2026-05-19T15:38:12.329837+00:00", + "ended_at": "2026-05-19T15:38:25.707238+00:00", + "elapsed_ms": 13377.37, + "prompt_metrics": { + "chars": 12089, + "bytes_utf8": 12089, + "lines": 398, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 995, + "bytes_utf8": 995, + "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": 610, + "bytes_utf8": 610, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16024, + "cached_input_tokens": 14720, + "output_tokens": 729, + "reasoning_output_tokens": 552 + } + }, + "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_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c160eec2004942fd04a9af1ba8e4e1e9772cd3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,398 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "item_col": "id", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1b56769412facb09dfc25701cf0a6dbb76ce3b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-34f9-7810-b9ff-b5b844d3fbbb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"ord_3\\\", \\\"id\\\",\\n SUM(CAST(\\\"month\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"month\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"month\\\" AS REAL))) OVER (PARTITION BY \\\"ord_3\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_3\\\", \\\"id\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\",\"notes\":\"Used the requested Within-Group Share of Total template with group_col=\\\"ord_3\\\", item_col=\\\"id\\\", and measure_col=\\\"month\\\". CAST(\\\"month\\\" AS REAL) ensures SQLite performs numeric aggregation, and LIMIT 16 applies the provided top_k binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16024,"cached_input_tokens":14720,"output_tokens":729,"reasoning_output_tokens":552}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ffd070b8eaa76c280c5737aef8feedc9c90a25c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"ord_3\", \"id\",\n SUM(CAST(\"month\" AS REAL)) AS total_measure,\n SUM(CAST(\"month\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"month\" AS REAL))) OVER (PARTITION BY \"ord_3\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_3\", \"id\"\nORDER BY share_within_group DESC\nLIMIT 16;","notes":"Used the requested Within-Group Share of Total template with group_col=\"ord_3\", item_col=\"id\", and measure_col=\"month\". CAST(\"month\" AS REAL) ensures SQLite performs numeric aggregation, and LIMIT 16 applies the provided top_k binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6336e184dcb9f5a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1de3849355058e5c88a52832b26578c42318be6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/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": "2026-05-19T16:06:32.056464+00:00", + "ended_at": "2026-05-19T16:06:35.165899+00:00", + "elapsed_ms": 3109.41, + "returncode": 1, + "prompt_metrics": { + "chars": 11956, + "bytes_utf8": 11956, + "lines": 399, + "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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fa1a500e1cb20f3fc2982841f6d4eb5ee47112da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/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": "2026-05-19T16:06:36.168896+00:00", + "ended_at": "2026-05-19T16:06:39.781603+00:00", + "elapsed_ms": 3612.66, + "returncode": 1, + "prompt_metrics": { + "chars": 11956, + "bytes_utf8": 11956, + "lines": 399, + "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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..697d53117cab0db777430d492b70d2b918b62b3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_2, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_2", + "condition_col": "ord_2", + "condition_value": "Lava Hot", + "positive_value": "Lava Hot", + "negative_value": "Boiling Hot", + "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": "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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..697d53117cab0db777430d492b70d2b918b62b3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_2, condition_col=ord_2.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_2", + "condition_col": "ord_2", + "condition_value": "Lava Hot", + "positive_value": "Lava Hot", + "negative_value": "Boiling Hot", + "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": "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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad309275120f05eec1abc98d3d2ec78e6167864a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-2483-79e1-8807-8e22131cdd01"} +{"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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..260be38c5ba5312136c5be6b6fa85e23ee12e3b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-2483-79e1-8807-8e22131cdd01"} +{"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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23db7b78850e234a4b786ba82ff17f414f601a3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3493-7be3-a660-fb30b2ac7b8d"} +{"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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c42d72e6858bd073d1cb2985a8052e68fe5d0b19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3493-7be3-a660-fb30b2ac7b8d"} +{"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_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a6d5c49826d17b43/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d48defadbd40d709d5fac84296b31dbc43d6ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/generated_sql.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c14_a7d680e6d74ac132 +-- problem_id: v2p_c14_7f3c78959e20311b +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "day", + CAST("month" AS REAL) AS "month_value", + ROW_NUMBER() OVER ( + PARTITION BY "day" + ORDER BY CAST("month" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "day" + ) AS "cnt" + FROM "c14" + WHERE "day" IS NOT NULL + AND "month" IS NOT NULL +), +"positions" AS ( + SELECT + "day", + "cnt", + (1.0 + ("cnt" - 1) * 0.95) AS "pos" + FROM "ordered" + GROUP BY "day", "cnt" +), +"bounds" AS ( + SELECT + "day", + "cnt", + "pos", + CAST("pos" AS INTEGER) AS "lower_rn", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN CAST("pos" AS INTEGER) + ELSE CAST("pos" AS INTEGER) + 1 + END AS "upper_rn" + FROM "positions" +) +SELECT + b."day", + CASE + WHEN b."lower_rn" = b."upper_rn" THEN MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."month_value" END) + ELSE + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."month_value" END) + + (b."pos" - b."lower_rn") * ( + MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."month_value" END) - + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."month_value" END) + ) + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."day" = b."day" +GROUP BY b."day", b."pos", b."lower_rn", b."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ffbd46a2c0a203d734cd1a4afb868af4f9e0ba4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"day\",\n CAST(\"month\" AS REAL) AS \"month_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"day\"\n ORDER BY CAST(\"month\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"day\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"day\" IS NOT NULL\n AND \"month\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"day\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\"\n FROM \"ordered\"\n GROUP BY \"day\", \"cnt\"\n),\n\"bounds\" AS (\n SELECT\n \"day\",\n \"cnt\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lower_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 \"upper_rn\"\n FROM \"positions\"\n)\nSELECT\n b.\"day\",\n CASE\n WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"month_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"month_value\" END) +\n (b.\"pos\" - b.\"lower_rn\") * (\n MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"month_value\" END) -\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"month_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"day\" = b.\"day\"\nGROUP BY b.\"day\", b.\"pos\", b.\"lower_rn\", b.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"day\\\",\\n CAST(\\\"month\\\" AS REAL) AS \\\"month_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"day\\\"\\n ORDER BY CAST(\\\"month\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"day\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"day\\\" IS NOT NULL\\n AND \\\"month\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"day\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"day\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"day\\\",\\n \\\"cnt\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lower_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 \\\"upper_rn\\\"\\n FROM \\\"positions\\\"\\n)\\nSELECT\\n b.\\\"day\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"month_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"month_value\\\" END) +\\n (b.\\\"pos\\\" - b.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"month_value\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"month_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"day\\\" = b.\\\"day\\\"\\nGROUP BY b.\\\"day\\\", b.\\\"pos\\\", b.\\\"lower_rn\\\", b.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"day\", \"percentile_measure\"], \"rows\": [{\"day\": \"1\", \"percentile_measure\": 12.0}, {\"day\": \"2\", \"percentile_measure\": 12.0}, {\"day\": \"3\", \"percentile_measure\": 12.0}, {\"day\": \"4\", \"percentile_measure\": 12.0}, {\"day\": \"5\", \"percentile_measure\": 12.0}, {\"day\": \"6\", \"percentile_measure\": 12.0}, {\"day\": \"7\", \"percentile_measure\": 12.0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1277.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..609e6292984761b87995a85e1db1ec2ad07d625f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:57:07.056689+00:00", + "ended_at": "2026-05-19T15:57:32.414178+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_a7d680e6d74ac132", + "problem_id": "v2p_c14_7f3c78959e20311b", + "dataset_id": "c14", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=day, measure_col=month.", + "bindings": { + "group_col": "day", + "measure_col": "month", + "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": 8.64, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_a7d680e6d74ac132.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a7d680e6d74ac132", + "api_calls": 0, + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 1068, + "total_tokens": 17008, + "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": 23054.48, + "sql_execution_elapsed_ms_total": 1277.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/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_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9a6cd1d331db7d872d8ebbe09c0ea449297692c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_a7d680e6d74ac132", + "api_calls": 0, + "input_tokens": 15940, + "cached_input_tokens": 14720, + "output_tokens": 1068, + "total_tokens": 17008, + "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": 23054.48, + "sql_execution_elapsed_ms_total": 1277.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a7d680e6d74ac132/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_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..365bb37b6e317ad8d07f6ac67db64336a891a1e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:05:23.734379+00:00", + "ended_at": "2026-05-19T16:05:31.159753+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_a9aaac4e7db33512", + "problem_id": "v2p_c14_6454e6f965c88c1d", + "dataset_id": "c14", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_3, condition_col=nom_3.", + "bindings": { + "group_col": "nom_3", + "condition_col": "nom_3", + "condition_value": "Finland", + "positive_value": "China", + "negative_value": "Finland", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..25cd0cb5259dcd647e9e331b8bcab930ce718259 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_a9aaac4e7db33512/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:26.896595+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3145.34, "started_at": "2026-05-19T16:05:23.750485+00:00", "ended_at": "2026-05-19T16:05:26.895852+00:00", "prompt_metrics": {"chars": 11945, "bytes_utf8": 11945, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-19a1-7860-90bb-109cb2e53774\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:31.159672+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3261.4, "started_at": "2026-05-19T16:05:27.897505+00:00", "ended_at": "2026-05-19T16:05:31.158938+00:00", "prompt_metrics": {"chars": 11945, "bytes_utf8": 11945, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-29dc-72f2-831a-601daee4b978\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2dead967bc52622c8a6809022d2157de6dda1d6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/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": "2026-05-19T16:08:56.922573+00:00", + "ended_at": "2026-05-19T16:08:59.706154+00:00", + "elapsed_ms": 2783.55, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ccc274a3aca930ab1ecfeafa7902e2e2a0997fd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/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": "2026-05-19T16:09:00.707733+00:00", + "ended_at": "2026-05-19T16:09:03.780438+00:00", + "elapsed_ms": 3072.66, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbd018bcadfef5ee325be874d7d17f52e20e8116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_3", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbd018bcadfef5ee325be874d7d17f52e20e8116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ord_3.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_3", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2886a2b7e899fa3bf4d2ea935a04690c482b7595 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5a5f-7e22-943b-5747089664d8"} +{"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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc3119997dd9cd479a5ff320fb85b54b207413dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5a5f-7e22-943b-5747089664d8"} +{"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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..82366a22d9e76664f49aa2bdbbeae3bb36205f77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-693e-70b3-ac25-0ec265cad605"} +{"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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f66965945f74b01c4a8fe316c990e585d5a252ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-693e-70b3-ac25-0ec265cad605"} +{"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_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ad653a5114c953bd/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9cf72fb967baa0503419b01fdc2b5c9cef50f66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_1, condition_col=ord_2. +Result preview: [{"nom_1": "Triangle", "condition_ratio": 1.0629451714427696}, {"nom_1": "Square", "condition_ratio": 1.056503943296396}, {"nom_1": "Trapezoid", "condition_ratio": 1.0548607718612604}, {"nom_1": "Polygon", "condition_ratio": 1.0525807341981783}, {"nom_1": "Star", "condition_ratio": 1.0525409130060293}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5a049842e5c516ce9507b12a90fdfc589a1eea44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_c14_ade5be20b4ab6d17 +-- problem_id: v2p_c14_52f5a0545867d41c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "nom_1", + SUM(CASE WHEN "ord_2" = 'Lava Hot' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "ord_2" = 'Boiling Hot' THEN 1 ELSE 0 END) AS denominator_count + FROM "c14" + GROUP BY "nom_1" +) +SELECT "nom_1", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15f464795c1bfab41dbcf8ada6683abb570b5c74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"nom_1\",\n SUM(CASE WHEN \"ord_2\" = 'Lava Hot' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"ord_2\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"nom_1\"\n)\nSELECT \"nom_1\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"nom_1\\\",\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Lava Hot' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\"\\n)\\nSELECT \\\"nom_1\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"nom_1\", \"condition_ratio\"], \"rows\": [{\"nom_1\": \"Triangle\", \"condition_ratio\": 1.0629451714427696}, {\"nom_1\": \"Square\", \"condition_ratio\": 1.056503943296396}, {\"nom_1\": \"Trapezoid\", \"condition_ratio\": 1.0548607718612604}, {\"nom_1\": \"Polygon\", \"condition_ratio\": 1.0525807341981783}, {\"nom_1\": \"Star\", \"condition_ratio\": 1.0525409130060293}, {\"nom_1\": \"Circle\", \"condition_ratio\": 1.0453164222486457}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 187.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5386e5c076c1731b1c179427b8020bde730ea430 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:42:13.110097+00:00", + "ended_at": "2026-05-19T15:42:38.532793+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_ade5be20b4ab6d17", + "problem_id": "v2p_c14_52f5a0545867d41c", + "dataset_id": "c14", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_1, condition_col=ord_2.", + "bindings": { + "group_col": "nom_1", + "condition_col": "ord_2", + "condition_value": "Lava Hot", + "positive_value": "Lava Hot", + "negative_value": "Boiling Hot", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_ade5be20b4ab6d17.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_ade5be20b4ab6d17", + "api_calls": 0, + "input_tokens": 16125, + "cached_input_tokens": 14720, + "output_tokens": 718, + "total_tokens": 16843, + "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": 25214.06, + "sql_execution_elapsed_ms_total": 187.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/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_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..25e023ff2e1316dad3413feb8f998ea2e0225176 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:38.342739+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 25214.06, "started_at": "2026-05-19T15:42:13.127030+00:00", "ended_at": "2026-05-19T15:42:38.341144+00:00", "prompt_metrics": {"chars": 12512, "bytes_utf8": 12512, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16125, "cached_input_tokens": 14720, "output_tokens": 718, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"nom_1\\\",\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Lava Hot' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"ord_2\\\" = 'Boiling Hot' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\"\\n)\\nSELECT \\\"nom_1\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each \\\"nom_1\\\" group, the ratio of rows where \\\"ord_2\\\" is 'Lava Hot' to rows where \\\"ord_2\\\" is 'Boiling Hot' using the planned grouped-ratio template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9eeb792dd913d6750948d90d6cdbb4c9175f6dc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_ade5be20b4ab6d17", + "api_calls": 0, + "input_tokens": 16125, + "cached_input_tokens": 14720, + "output_tokens": 718, + "total_tokens": 16843, + "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": 25214.06, + "sql_execution_elapsed_ms_total": 187.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ade5be20b4ab6d17/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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5d5e60305c488377e740656291a542fe5a6de8f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/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": "2026-05-19T16:12:07.181351+00:00", + "ended_at": "2026-05-19T16:12:10.423489+00:00", + "elapsed_ms": 3242.11, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e85c7e578eb51d7af3a0059f38108ecd561e7f8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/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": "2026-05-19T16:12:11.425618+00:00", + "ended_at": "2026-05-19T16:12:14.671667+00:00", + "elapsed_ms": 3246.0, + "returncode": 1, + "prompt_metrics": { + "chars": 11764, + "bytes_utf8": 11764, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3311b6b960ca704bf770f48a126084dbd76150cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3311b6b960ca704bf770f48a126084dbd76150cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=ord_2, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_2", + "measure_col": "day", + "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": 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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e18486fe9d230922974ebe91d7910d624513c36a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-4189-74f3-8d02-e98cab0cb4d1"} +{"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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d5c259add662e41cb198991ee511952ac42b3ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-4189-74f3-8d02-e98cab0cb4d1"} +{"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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e586c7362913ddff507663420f044277730d3f3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-5215-7e02-821b-aff04910e3dd"} +{"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_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..170b2b26930d2f33188230339dd4dec2192b24dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_adf51dfd5ee1b26c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-5215-7e02-821b-aff04910e3dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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100644 index 0000000000000000000000000000000000000000..908e792864ba1295adf9746cb3bd8396cca9dc20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11866, "bytes_utf8": 11866, "lines": 396, "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": 983, "bytes_utf8": 983, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 12032, "output_tokens": 1968, "reasoning_output_tokens": 1660}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ed9d24e586bca021b8498ecc420101d9b435aba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_ae4f728dd465575f", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 1968, + "total_tokens": 17912, + "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": 32530.77, + "sql_execution_elapsed_ms_total": 773.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/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_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8fc821d4368a671baeb76b17adc21a4f6539f177 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/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": "2026-05-19T15:59:28.895306+00:00", + "ended_at": "2026-05-19T16:00:01.426102+00:00", + "elapsed_ms": 32530.77, + "prompt_metrics": { + "chars": 11866, + "bytes_utf8": 11866, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1465, + "bytes_utf8": 1465, + "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": 983, + "bytes_utf8": 983, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 12032, + "output_tokens": 1968, + "reasoning_output_tokens": 1660 + } + }, + "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_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..003a7475f3ccdf87eced3c39e589bf7334b0a1d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=target, measure_col=ord_0.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "target", + "measure_col": "ord_0", + "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": 2.32, + "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_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9625fa8aafdc9c5ce956c2192a38683db11feee1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-af7b-7ff1-a2fa-1c6e586adaa1"} +{"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 \\\"target\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"target\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"target\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"target\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"cutoff\\\" AS (\\n SELECT\\n \\\"target\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n CAST((0.95 * \\\"cnt\\\") AS INTEGER) +\\n ((0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER)) AS \\\"pct_rank\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"target\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"cutoff\\\"\\nWHERE \\\"rn\\\" = \\\"pct_rank\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"target\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile within each \\\"target\\\" group, casting text \\\"ord_0\\\" to REAL before ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":12032,"output_tokens":1968,"reasoning_output_tokens":1660}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8acdddafc53fa73469354705f33c481fbe075e25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"target\",\n CAST(\"ord_0\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"target\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"target\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"target\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n),\n\"cutoff\" AS (\n SELECT\n \"target\",\n \"measure_value\",\n \"rn\",\n CAST((0.95 * \"cnt\") AS INTEGER) +\n ((0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER)) AS \"pct_rank\"\n FROM \"ranked\"\n)\nSELECT\n \"target\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"cutoff\"\nWHERE \"rn\" = \"pct_rank\"\nORDER BY \"percentile_measure\" DESC, \"target\";","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile within each \"target\" group, casting text \"ord_0\" to REAL before ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_ae4f728dd465575f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b1b1735ee4d7cf947af485980b2f65e0133becc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_0, measure_col=ord_0. +Result preview: [{"nom_0": "Green", "group_value": 188383.0}, {"nom_0": "Blue", "group_value": 142071.0}, {"nom_0": "Red", "group_value": 113416.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..27b77e80c50f3a128d0805b0c5bab7ab3f938542 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c14_af10c2d1716ae123 +-- problem_id: v2p_c14_11b3f5da5c93f15e +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "nom_0", SUM(CAST("ord_0" AS REAL)) AS "group_value" + FROM "c14" + WHERE "nom_0" IS NOT NULL + AND "ord_0" IS NOT NULL + GROUP BY "nom_0" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."nom_0", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12ef9d685ab01411d7362783da39b5c9c2a490b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"nom_0\", SUM(CAST(\"ord_0\" AS REAL)) AS \"group_value\"\n FROM \"c14\"\n WHERE \"nom_0\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n GROUP BY \"nom_0\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"nom_0\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"nom_0\\\", SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_0\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"nom_0\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"nom_0\\\", 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;\", \"columns\": [\"nom_0\", \"group_value\"], \"rows\": [{\"nom_0\": \"Green\", \"group_value\": 188383.0}, {\"nom_0\": \"Blue\", \"group_value\": 142071.0}, {\"nom_0\": \"Red\", \"group_value\": 113416.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 173.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..102937968cbd18fc66a6e189fcc52171a0b3ccaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:49:54.920149+00:00", + "ended_at": "2026-05-19T15:50:12.899571+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_af10c2d1716ae123", + "problem_id": "v2p_c14_11b3f5da5c93f15e", + "dataset_id": "c14", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_0, measure_col=ord_0.", + "bindings": { + "group_col": "nom_0", + "measure_col": "ord_0", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_af10c2d1716ae123.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_af10c2d1716ae123", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 749, + "total_tokens": 16797, + "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": 17785.31, + "sql_execution_elapsed_ms_total": 173.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/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_d/c14/artifacts/v2q_c14_af10c2d1716ae123/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..df2b2c441e77d87549aa9be36cf023cb3ce94cdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:12.724183+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17785.31, "started_at": "2026-05-19T15:49:54.937831+00:00", "ended_at": "2026-05-19T15:50:12.723176+00:00", "prompt_metrics": {"chars": 12237, "bytes_utf8": 12237, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 751, "bytes_utf8": 751, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16048, "cached_input_tokens": 14720, "output_tokens": 749, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"nom_0\\\", SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_0\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"nom_0\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"nom_0\\\", 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=\\\"nom_0\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to REAL because the schema stores it as TEXT, and filtered NULLs for a stable grouped view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9364daa61f61acb56f40e575bf7844c510edeb48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_af10c2d1716ae123", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 749, + "total_tokens": 16797, + "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": 17785.31, + "sql_execution_elapsed_ms_total": 173.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_af10c2d1716ae123/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_d/c14/artifacts/v2q_c14_affa0907e938950b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d410dd8096e05da28d5d9bc1edac051ac7a5393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:10:38.993925+00:00", + "ended_at": "2026-05-19T16:10:46.157083+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_affa0907e938950b", + "problem_id": "v2p_c14_e585658ef1ead69e", + "dataset_id": "c14", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=nom_1, measure_col=id.", + "bindings": { + "group_col": "nom_1", + "measure_col": "id", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d927063972ee326296471eadef7f4bf9e81d09d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_affa0907e938950b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:41.925770+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2913.15, "started_at": "2026-05-19T16:10:39.011895+00:00", "ended_at": "2026-05-19T16:10:41.925071+00:00", "prompt_metrics": {"chars": 11767, "bytes_utf8": 11767, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-e91d-7bb0-aa1d-8d3e79abea3a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:46.156884+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3228.77, "started_at": "2026-05-19T16:10:42.926987+00:00", "ended_at": "2026-05-19T16:10:46.155799+00:00", "prompt_metrics": {"chars": 11767, "bytes_utf8": 11767, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-f870-76b3-83b6-555071b77cc4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec37a980d8c1820a830b98f937f5e95c6420307e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_3, measure_col=ord_0. +Result preview: [{"bin_3": "T", "percentile_measure": 3.0}, {"bin_3": "F", "percentile_measure": 3.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e8b3af25d8d4371879f3f145e08267ba6c984139 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c14_b094573590b30c01 +-- problem_id: v2p_c14_3f65c08c398406b3 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "bin_3", + CAST("ord_0" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "bin_3" + ORDER BY CAST("ord_0" AS REAL) + ) AS "cume_dist_value", + COUNT(*) OVER (PARTITION BY "bin_3") AS "group_size" + FROM "c14" + WHERE "bin_3" IS NOT NULL + AND "ord_0" IS NOT NULL +) +SELECT + "bin_3", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist_value" >= 0.95 + AND "group_size" >= 5 +GROUP BY "bin_3" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff6afca2b6a009682c1595b6229114d08fd1e188 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"bin_3\",\n CAST(\"ord_0\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"bin_3\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"cume_dist_value\",\n COUNT(*) OVER (PARTITION BY \"bin_3\") AS \"group_size\"\n FROM \"c14\"\n WHERE \"bin_3\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n)\nSELECT\n \"bin_3\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist_value\" >= 0.95\n AND \"group_size\" >= 5\nGROUP BY \"bin_3\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"bin_3\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"bin_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"bin_3\\\") AS \\\"group_size\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_3\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"bin_3\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"bin_3\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"bin_3\", \"percentile_measure\"], \"rows\": [{\"bin_3\": \"T\", \"percentile_measure\": 3.0}, {\"bin_3\": \"F\", \"percentile_measure\": 3.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 717.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ece26a2ebf020c5a8b00502ee676b9633dc1fb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:03:54.306075+00:00", + "ended_at": "2026-05-19T16:04:23.849360+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_b094573590b30c01", + "problem_id": "v2p_c14_3f65c08c398406b3", + "dataset_id": "c14", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_3, measure_col=ord_0.", + "bindings": { + "group_col": "bin_3", + "measure_col": "ord_0", + "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": 2.32, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_b094573590b30c01.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_b094573590b30c01", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 12032, + "output_tokens": 1807, + "total_tokens": 17755, + "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": 28807.49, + "sql_execution_elapsed_ms_total": 717.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/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_d/c14/artifacts/v2q_c14_b094573590b30c01/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8daeff68c24302bd240e4d639f988f72c4afc1c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:23.130294+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 28807.49, "started_at": "2026-05-19T16:03:54.321913+00:00", "ended_at": "2026-05-19T16:04:23.129435+00:00", "prompt_metrics": {"chars": 11864, "bytes_utf8": 11864, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 870, "bytes_utf8": 870, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15948, "cached_input_tokens": 12032, "output_tokens": 1807, "reasoning_output_tokens": 1531}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"bin_3\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"bin_3\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"bin_3\\\") AS \\\"group_size\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_3\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"bin_3\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist_value\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"bin_3\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST to return the nearest-rank 95th percentile of \\\"ord_0\\\" within each \\\"bin_3\\\" group, casting \\\"ord_0\\\" from TEXT to REAL and excluding groups smaller than 5 rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..847c6a14ebbbe455c841577c8f36f411c0712d4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_b094573590b30c01", + "api_calls": 0, + "input_tokens": 15948, + "cached_input_tokens": 12032, + "output_tokens": 1807, + "total_tokens": 17755, + "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": 28807.49, + "sql_execution_elapsed_ms_total": 717.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b094573590b30c01/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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f3ff53f5255357eb2b90528a7a5288f31f3a4d51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/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": "2026-05-19T16:11:01.087052+00:00", + "ended_at": "2026-05-19T16:11:04.031973+00:00", + "elapsed_ms": 2944.89, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2fd2882299ac5efe0f28ddc7c784bf002a4f989d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/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": "2026-05-19T16:11:05.033670+00:00", + "ended_at": "2026-05-19T16:11:08.326683+00:00", + "elapsed_ms": 3292.98, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d64875c09c558b4d160ffeef94c3b1901f0da511 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=nom_2, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "ord_0", + "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": 2.32, + "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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d64875c09c558b4d160ffeef94c3b1901f0da511 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=nom_2, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "ord_0", + "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": 2.32, + "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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6cfc62c06f18c47617ed3f87f108cc00ca51f8c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3f67-7650-b0ac-72267580650e"} +{"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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e895355602b0bc606066bfd85783b14a0f5600e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3f67-7650-b0ac-72267580650e"} +{"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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fb22fc73a355ae4f23c4eeb8ba53a348682ca32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-4ed7-7b73-bd88-5d622821d777"} +{"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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..36a24be5b66bca439b889ac54a7b776a2cf959d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-4ed7-7b73-bd88-5d622821d777"} +{"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_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b2944c33edd00db4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3a2ffe72edc56608a9abe96602ce8ed76764d1e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/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": "2026-05-19T16:09:10.745895+00:00", + "ended_at": "2026-05-19T16:09:13.990465+00:00", + "elapsed_ms": 3244.54, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7165ae115d6c01269c91a200ac97163bf6470494 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/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": "2026-05-19T16:09:14.992897+00:00", + "ended_at": "2026-05-19T16:09:17.792453+00:00", + "elapsed_ms": 2799.51, + "returncode": 1, + "prompt_metrics": { + "chars": 11677, + "bytes_utf8": 11677, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eda823fc98ddacf6a58177d91d05c347f829f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=ord_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_4", + "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": "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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eda823fc98ddacf6a58177d91d05c347f829f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=ord_4.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_4", + "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": "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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..24e9fd8e97a7786e805ada9ab7c0192574dbe003 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-9068-73e0-b713-e8a2d3eac1de"} +{"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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d5190d04daebaf9076a38d461725dfb4a597cc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-9068-73e0-b713-e8a2d3eac1de"} +{"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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4b42a37ba5a770d6a178cd30e1fd7c4c653e4e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-a0f5-71c3-8a66-e452f041f9b7"} +{"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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..942e94aefde138bb9c91f485eddf862cdfc0d0c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-a0f5-71c3-8a66-e452f041f9b7"} +{"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_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b43a0b33751aa6f8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1eb0343aacd753cd01f133a2649c3c8958be91e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_4, measure_col=ord_0. +Result preview: [{"nom_4": "Oboe", "group_value": 136622.0}, {"nom_4": "Piano", "group_value": 124817.0}, {"nom_4": "Bassoon", "group_value": 101561.0}, {"nom_4": "Theremin", "group_value": 80870.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c5251f021c7bc9eda0862b009ffae61e10014398 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c14_b57a9e79a7ef0837 +-- problem_id: v2p_c14_2215d4c92ce09f91 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "nom_4", + SUM(CAST("ord_0" AS REAL)) AS "group_value" + FROM "c14" + WHERE "nom_4" IS NOT NULL + AND "ord_0" IS NOT NULL + GROUP BY "nom_4" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."nom_4", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..65c63106bc3d72adbf0226c6834aade32c50fd59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"nom_4\",\n SUM(CAST(\"ord_0\" AS REAL)) AS \"group_value\"\n FROM \"c14\"\n WHERE \"nom_4\" IS NOT NULL\n AND \"ord_0\" IS NOT NULL\n GROUP BY \"nom_4\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"nom_4\",\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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"nom_4\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_4\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"nom_4\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"nom_4\\\",\\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;\", \"columns\": [\"nom_4\", \"group_value\"], \"rows\": [{\"nom_4\": \"Oboe\", \"group_value\": 136622.0}, {\"nom_4\": \"Piano\", \"group_value\": 124817.0}, {\"nom_4\": \"Bassoon\", \"group_value\": 101561.0}, {\"nom_4\": \"Theremin\", \"group_value\": 80870.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 186.1}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1f5ee6b302662abfa5ec92d6c3d22fa9b36e4c84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:51:58.790692+00:00", + "ended_at": "2026-05-19T15:52:12.329333+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_b57a9e79a7ef0837", + "problem_id": "v2p_c14_2215d4c92ce09f91", + "dataset_id": "c14", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_4, measure_col=ord_0.", + "bindings": { + "group_col": "nom_4", + "measure_col": "ord_0", + "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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_b57a9e79a7ef0837.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_b57a9e79a7ef0837", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 688, + "total_tokens": 16736, + "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": 13332.34, + "sql_execution_elapsed_ms_total": 186.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/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_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb2c86af99404f4a4d1ebeb6555e1ae6ebdbbfb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:12.140919+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13332.34, "started_at": "2026-05-19T15:51:58.806893+00:00", "ended_at": "2026-05-19T15:52:12.139276+00:00", "prompt_metrics": {"chars": 12237, "bytes_utf8": 12237, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 726, "bytes_utf8": 726, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16048, "cached_input_tokens": 14720, "output_tokens": 688, "reasoning_output_tokens": 454}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"nom_4\\\",\\n SUM(CAST(\\\"ord_0\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"nom_4\\\" IS NOT NULL\\n AND \\\"ord_0\\\" IS NOT NULL\\n GROUP BY \\\"nom_4\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"nom_4\\\",\\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\":\"Used the required template with group_col=\\\"nom_4\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" from TEXT to REAL for numeric aggregation and filtered NULLs for a stable grouped view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff93c9cbce5fa7b2947110edf031cc2d1c72fa12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_b57a9e79a7ef0837", + "api_calls": 0, + "input_tokens": 16048, + "cached_input_tokens": 14720, + "output_tokens": 688, + "total_tokens": 16736, + "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": 13332.34, + "sql_execution_elapsed_ms_total": 186.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b57a9e79a7ef0837/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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9cff9c8d19a0c5cb01324b3bffce3b02b6ec2e31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/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": "2026-05-19T16:10:30.850952+00:00", + "ended_at": "2026-05-19T16:10:34.152713+00:00", + "elapsed_ms": 3301.73, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8b0e81c3aa261082078df96874ad54e86dbe4fa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/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": "2026-05-19T16:10:35.154620+00:00", + "ended_at": "2026-05-19T16:10:38.992422+00:00", + "elapsed_ms": 3837.67, + "returncode": 1, + "prompt_metrics": { + "chars": 11679, + "bytes_utf8": 11679, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..18e755e34dc87006c955a9216118910cb36d73c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..18e755e34dc87006c955a9216118910cb36d73c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=bin_1.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "bin_1", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf2aab33f9cd25b3718bb130243701ebba25a231 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-c94a-7e93-aa3a-c04243f1dfb1"} +{"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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..30cffc5ac060717ba3ed280c8ea139257b443b34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-c94a-7e93-aa3a-c04243f1dfb1"} +{"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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8bdc24d45305d9c025e28cc13cc6911530fc6f79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-da0d-7060-b7eb-228b66ca06af"} +{"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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca33483ba530c6cf154196b21eff872af7b4238e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-da0d-7060-b7eb-228b66ca06af"} +{"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_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b84e9a558e586623/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7bc5b7da57585364ebca5f52e752da6c4d8a4095 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11683, "bytes_utf8": 11683, "lines": 396, "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": 387, "bytes_utf8": 387, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 371, "reasoning_output_tokens": 263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..005f75ab7777cb3ce8a6e6584fd648930ce8255a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_b868d121fa9735a4", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 371, + "total_tokens": 16277, + "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": 9477.24, + "sql_execution_elapsed_ms_total": 137.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/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_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6365888f2379daf595ed75a3bfd5c46c23c0ad78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/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": "2026-05-19T15:29:52.612691+00:00", + "ended_at": "2026-05-19T15:30:02.089954+00:00", + "elapsed_ms": 9477.24, + "prompt_metrics": { + "chars": 11683, + "bytes_utf8": 11683, + "lines": 396, + "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": 387, + "bytes_utf8": 387, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 371, + "reasoning_output_tokens": 263 + } + }, + "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_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b86cdcaffd76b7891509026b84ed1875aed278da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_4, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_4", + "measure_col": "id", + "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": 150351.84, + "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_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fccfc1a101ab8922531887d2b57731a9b79cfa2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-94e2-7421-9abb-44216fc98ca3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_4\\\", SUM(CAST(\\\"id\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"bin_4\\\" and measure_col=\\\"id\\\". CAST was added because \\\"id\\\" is stored as TEXT in SQLite schema but represents numeric identifiers.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":371,"reasoning_output_tokens":263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..584a862d056feebd4375e2de06a7a486856f382a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_4\", SUM(CAST(\"id\" AS INTEGER)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"bin_4\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required grouped numeric sum template with group_col=\"bin_4\" and measure_col=\"id\". CAST was added because \"id\" is stored as TEXT in SQLite schema but represents numeric identifiers."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_b868d121fa9735a4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a73d062d1d262370dd4ac7a7ae73f9fcb34484d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=nom_4, condition_col=nom_4. +Result preview: [{"nom_4": "Oboe", "condition_rate": 1.0}, {"nom_4": "Theremin", "condition_rate": 0.0}, {"nom_4": "Piano", "condition_rate": 0.0}, {"nom_4": "Bassoon", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..57532d378a31887731ada0f22f0b3982cf0339c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c14_bb3dcc5c6b8957ae +-- problem_id: v2p_c14_af40331407157fff +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_4", + AVG(CASE WHEN "nom_4" = 'Oboe' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "c14" +GROUP BY "nom_4" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab019440a83dd450659b3c9145c27e78c4139617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate.\nSELECT \"nom_4\",\n AVG(CASE WHEN \"nom_4\" = 'Oboe' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c14\"\nGROUP BY \"nom_4\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"nom_4\\\",\\n AVG(CASE WHEN \\\"nom_4\\\" = 'Oboe' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"nom_4\", \"condition_rate\"], \"rows\": [{\"nom_4\": \"Oboe\", \"condition_rate\": 1.0}, {\"nom_4\": \"Theremin\", \"condition_rate\": 0.0}, {\"nom_4\": \"Piano\", \"condition_rate\": 0.0}, {\"nom_4\": \"Bassoon\", \"condition_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 186.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1f477ebba2a1786b903a4c011cad44d3a33209af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:05:31.160126+00:00", + "ended_at": "2026-05-19T16:05:47.170237+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_bb3dcc5c6b8957ae", + "problem_id": "v2p_c14_af40331407157fff", + "dataset_id": "c14", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=nom_4, condition_col=nom_4.", + "bindings": { + "group_col": "nom_4", + "condition_col": "nom_4", + "condition_value": "Oboe", + "positive_value": "Oboe", + "negative_value": "Bassoon", + "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": 9.0, + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_bb3dcc5c6b8957ae.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_bb3dcc5c6b8957ae", + "api_calls": 0, + "input_tokens": 15974, + "cached_input_tokens": 12032, + "output_tokens": 563, + "total_tokens": 16537, + "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": 14799.96, + "sql_execution_elapsed_ms_total": 186.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/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_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d0c49702ee76e858c3e0d3699923d9b444f97a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:35.060213+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3882.47, "started_at": "2026-05-19T16:05:31.176367+00:00", "ended_at": "2026-05-19T16:05:35.058858+00:00", "prompt_metrics": {"chars": 11930, "bytes_utf8": 11930, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-36b8-7820-b343-fabfb860a6a9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:46.980899+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10917.49, "started_at": "2026-05-19T16:05:36.061972+00:00", "ended_at": "2026-05-19T16:05:46.979516+00:00", "prompt_metrics": {"chars": 11930, "bytes_utf8": 11930, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 469, "bytes_utf8": 469, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15974, "cached_input_tokens": 12032, "output_tokens": 563, "reasoning_output_tokens": 417}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"nom_4\\\",\\n AVG(CASE WHEN \\\"nom_4\\\" = 'Oboe' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required template with \\\"group_col\\\" = \\\"nom_4\\\" and \\\"condition_col\\\" = \\\"nom_4\\\". Because the grouping column and condition column are the same, the \\\"Oboe\\\" group will have rate 1.0 and all other groups will have rate 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eb74341987f57c44185f585261acedb8eccdc262 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_bb3dcc5c6b8957ae", + "api_calls": 0, + "input_tokens": 15974, + "cached_input_tokens": 12032, + "output_tokens": 563, + "total_tokens": 16537, + "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": 14799.96, + "sql_execution_elapsed_ms_total": 186.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bb3dcc5c6b8957ae/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_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a902a9f9f984209d9ee56ff6dbbae7557cee850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12236, "bytes_utf8": 12236, "lines": 396, "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": 679, "bytes_utf8": 679, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 592, "reasoning_output_tokens": 391}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b67c2f0ac655cd2f415c4b0b0fdbd7a30057335d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_bfef400c946c17ec", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 592, + "total_tokens": 16636, + "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": 14208.23, + "sql_execution_elapsed_ms_total": 175.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/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_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2c8d7db95485b31236f2c1ae125df4b797addc11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/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": "2026-05-19T15:50:40.061499+00:00", + "ended_at": "2026-05-19T15:50:54.269764+00:00", + "elapsed_ms": 14208.23, + "prompt_metrics": { + "chars": 12236, + "bytes_utf8": 12236, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1098, + "bytes_utf8": 1098, + "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": 679, + "bytes_utf8": 679, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 592, + "reasoning_output_tokens": 391 + } + }, + "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_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1844bdb889b125d15bd0516e72c4e92b049a328b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_1, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_1", + "measure_col": "day", + "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": 3.64, + "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_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab81079c87b9c9de9049cc31513454dca0968579 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-9ddb-7b92-8035-c6110e1e657f"} +{"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 \\\"nom_1\\\", SUM(CAST(\\\"day\\\" AS NUMERIC)) AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_1\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"nom_1\\\", 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 required template with group_col bound to \\\"nom_1\\\" and measure_col bound to \\\"day\\\", casting \\\"day\\\" to NUMERIC for SQLite-safe aggregation before applying the 5% relative-to-total threshold.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16044,"cached_input_tokens":14720,"output_tokens":592,"reasoning_output_tokens":391}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b2588f7fe08f3ed74403ec281b1b03aa743e438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"nom_1\", SUM(CAST(\"day\" AS NUMERIC)) AS \"group_value\"\n FROM \"c14\"\n GROUP BY \"nom_1\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"nom_1\", 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 required template with group_col bound to \"nom_1\" and measure_col bound to \"day\", casting \"day\" to NUMERIC for SQLite-safe aggregation before applying the 5% relative-to-total threshold."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_bfef400c946c17ec/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bc703dda7dab3c74ab7091c532b464964eb0644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"id": "299999"}, {"id": "299998"}, {"id": "299997"}, {"id": "299996"}, {"id": "299995"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7487b797c6cd06467b8c6316f3752761c1a8f8c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_c14_c043f6997532da0f +-- problem_id: v2p_c14_84a84f750cc50308 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "id", + CAST("id" AS INTEGER) AS "id_num", + NTILE(10) OVER (ORDER BY CAST("id" AS INTEGER) DESC) AS "tail_bucket" + FROM "c14" +) +SELECT "id" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "id_num" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..babb48cad08977b882f011e6ec8ade59a95ceb12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"id\",\n CAST(\"id\" AS INTEGER) AS \"id_num\",\n NTILE(10) OVER (ORDER BY CAST(\"id\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n)\nSELECT \"id\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"id_num\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"id\\\",\\n CAST(\\\"id\\\" AS INTEGER) AS \\\"id_num\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"id_num\\\" DESC;\", \"columns\": [\"id\"], \"rows\": [{\"id\": \"299999\"}, {\"id\": \"299998\"}, {\"id\": \"299997\"}, {\"id\": \"299996\"}, {\"id\": \"299995\"}, {\"id\": \"299994\"}, {\"id\": \"299993\"}, {\"id\": \"299992\"}, {\"id\": \"299991\"}, {\"id\": \"299990\"}, {\"id\": \"299989\"}, {\"id\": \"299988\"}, {\"id\": \"299987\"}, {\"id\": \"299986\"}, {\"id\": \"299985\"}, {\"id\": \"299984\"}, {\"id\": \"299983\"}, {\"id\": \"299982\"}, {\"id\": \"299981\"}, {\"id\": \"299980\"}, {\"id\": \"299979\"}, {\"id\": \"299978\"}, {\"id\": \"299977\"}, {\"id\": \"299976\"}, {\"id\": \"299975\"}, {\"id\": \"299974\"}, {\"id\": \"299973\"}, {\"id\": \"299972\"}, {\"id\": \"299971\"}, {\"id\": \"299970\"}, {\"id\": \"299969\"}, {\"id\": \"299968\"}, {\"id\": \"299967\"}, {\"id\": \"299966\"}, {\"id\": \"299965\"}, {\"id\": \"299964\"}, {\"id\": \"299963\"}, {\"id\": \"299962\"}, {\"id\": \"299961\"}, {\"id\": \"299960\"}, {\"id\": \"299959\"}, {\"id\": \"299958\"}, {\"id\": \"299957\"}, {\"id\": \"299956\"}, {\"id\": \"299955\"}, {\"id\": \"299954\"}, {\"id\": \"299953\"}, {\"id\": \"299952\"}, {\"id\": \"299951\"}, {\"id\": \"299950\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 416.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1a2afcd2d8dcc2d6fd11dfbf305cc800a9c1c468 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:46:22.490558+00:00", + "ended_at": "2026-05-19T15:46:39.814284+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_c043f6997532da0f", + "problem_id": "v2p_c14_84a84f750cc50308", + "dataset_id": "c14", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=64" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_c043f6997532da0f.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c043f6997532da0f", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 600, + "total_tokens": 16557, + "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": 16868.6, + "sql_execution_elapsed_ms_total": 416.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/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_d/c14/artifacts/v2q_c14_c043f6997532da0f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50438f97640e6c79fc2b679d256f247824ed4fd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:39.391455+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16868.6, "started_at": "2026-05-19T15:46:22.521635+00:00", "ended_at": "2026-05-19T15:46:39.390283+00:00", "prompt_metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 594, "bytes_utf8": 594, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 12032, "output_tokens": 600, "reasoning_output_tokens": 432}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"id\\\",\\n CAST(\\\"id\\\" AS INTEGER) AS \\\"id_num\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"id\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"id_num\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template on measure_col=\\\"id\\\" with 10 tiles. Because \\\"id\\\" is stored as TEXT in SQLite, the query casts it to INTEGER for correct numeric tail ordering while still returning the original \\\"id\\\" values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1eba5f654ba6feae481ae08215712d8e040000f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c043f6997532da0f", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 12032, + "output_tokens": 600, + "total_tokens": 16557, + "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": 16868.6, + "sql_execution_elapsed_ms_total": 416.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c043f6997532da0f/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_d/c14/artifacts/v2q_c14_c1b4265c237f290f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2a0c68d5a0e816aeeffc0d7c1c557519028f9bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_1. +Result preview: [{"bin_3": "T", "ord_1": "Novice", "row_count": 23314}, {"bin_3": "F", "ord_1": "Novice", "row_count": 22310}, {"bin_3": "T", "ord_1": "Grandmaster", "row_count": 14324}, {"bin_3": "F", "ord_1": "Grandmaster", "row_count": 13672}, {"bin_3": "T", "ord_1": "Contributor", "row_count": 7962}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6fb15b032195ff9a70cc0d3deb4b5669ebd79195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c14_c1b4265c237f290f +-- problem_id: v2p_c14_d256796a11872184 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_3", "ord_1", COUNT(*) AS row_count +FROM "c14" +WHERE "bin_4" = 'N' +GROUP BY "bin_3", "ord_1" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14bae0f4bd4197ab667c7ed95c5fffa6250e4694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"bin_3\", \"ord_1\", COUNT(*) AS row_count\nFROM \"c14\"\nWHERE \"bin_4\" = 'N'\nGROUP BY \"bin_3\", \"ord_1\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_1\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_4\\\" = 'N'\\nGROUP BY \\\"bin_3\\\", \\\"ord_1\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"bin_3\", \"ord_1\", \"row_count\"], \"rows\": [{\"bin_3\": \"T\", \"ord_1\": \"Novice\", \"row_count\": 23314}, {\"bin_3\": \"F\", \"ord_1\": \"Novice\", \"row_count\": 22310}, {\"bin_3\": \"T\", \"ord_1\": \"Grandmaster\", \"row_count\": 14324}, {\"bin_3\": \"F\", \"ord_1\": \"Grandmaster\", \"row_count\": 13672}, {\"bin_3\": \"T\", \"ord_1\": \"Contributor\", \"row_count\": 7962}, {\"bin_3\": \"F\", \"ord_1\": \"Contributor\", \"row_count\": 7528}, {\"bin_3\": \"T\", \"ord_1\": \"Master\", \"row_count\": 5231}, {\"bin_3\": \"F\", \"ord_1\": \"Master\", \"row_count\": 4967}, {\"bin_3\": \"T\", \"ord_1\": \"Expert\", \"row_count\": 4662}, {\"bin_3\": \"F\", \"ord_1\": \"Expert\", \"row_count\": 4397}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 108.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..73381f37561ab2f514c253867f7c18cff01d4da0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:44:47.374341+00:00", + "ended_at": "2026-05-19T15:45:07.118765+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_c1b4265c237f290f", + "problem_id": "v2p_c14_d256796a11872184", + "dataset_id": "c14", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=bin_3, group_col_2=ord_1.", + "bindings": { + "group_col": "bin_3", + "group_col_2": "ord_1", + "predicate_col": "bin_4", + "predicate_op": "=", + "predicate_value": "N", + "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": 9.0, + "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 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=55" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_c1b4265c237f290f.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c1b4265c237f290f", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 16304, + "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": 19617.15, + "sql_execution_elapsed_ms_total": 108.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/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_d/c14/artifacts/v2q_c14_c1b4265c237f290f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca021875e07dd2d1880e1edb5c1e3730ca5cd042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:07.008336+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19617.15, "started_at": "2026-05-19T15:44:47.390378+00:00", "ended_at": "2026-05-19T15:45:07.007552+00:00", "prompt_metrics": {"chars": 11987, "bytes_utf8": 11987, "lines": 400, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16003, "cached_input_tokens": 12032, "output_tokens": 301, "reasoning_output_tokens": 183}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"bin_3\\\", \\\"ord_1\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nWHERE \\\"bin_4\\\" = 'N'\\nGROUP BY \\\"bin_3\\\", \\\"ord_1\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template with group_col=\\\"bin_3\\\", group_col_2=\\\"ord_1\\\", and predicate \\\"bin_4\\\" = 'N'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f3b5c4269b456d9f2d28e1bcf17430e4afa010aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c1b4265c237f290f", + "api_calls": 0, + "input_tokens": 16003, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 16304, + "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": 19617.15, + "sql_execution_elapsed_ms_total": 108.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1b4265c237f290f/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_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..850b8d9aa7fde13ec74fc7591dae79b3b57e2bb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12483, "bytes_utf8": 12483, "lines": 399, "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": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16115, "cached_input_tokens": 14720, "output_tokens": 514, "reasoning_output_tokens": 310}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..efcd563bfe687849491a5d8610307ce749d1cf7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c1ca0d06855066f5", + "api_calls": 0, + "input_tokens": 16115, + "cached_input_tokens": 14720, + "output_tokens": 514, + "total_tokens": 16629, + "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": 13145.7, + "sql_execution_elapsed_ms_total": 188.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/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_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..911bdfa40b8a9f6b5f2a9cd5ba3e1cab1749447e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/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": "2026-05-19T15:42:38.550096+00:00", + "ended_at": "2026-05-19T15:42:51.695826+00:00", + "elapsed_ms": 13145.7, + "prompt_metrics": { + "chars": 12483, + "bytes_utf8": 12483, + "lines": 399, + "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": 748, + "bytes_utf8": 748, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16115, + "cached_input_tokens": 14720, + "output_tokens": 514, + "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_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b8b585c24a7e44037be6bc754717752cd3d595b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=nom_2, condition_col=day.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "nom_2", + "condition_col": "day", + "condition_value": "1", + "positive_value": "1", + "negative_value": "2", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd30bf17e112329cd91fe37ff8135dbecc7b5d57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-44cc-7962-bc00-f322ae401b44"} +{"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 \\\"nom_2\\\",\\n SUM(CASE WHEN \\\"day\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"day\\\" = '2' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_2\\\"\\n)\\nSELECT \\\"nom_2\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Instantiated the provided grouped ratio template with group_col=\\\"nom_2\\\" and condition_col=\\\"day\\\", using '1' as the numerator condition and '2' as the denominator condition. \\\"day\\\" is stored as TEXT in the schema snapshot, so the condition values are quoted as text literals.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16115,"cached_input_tokens":14720,"output_tokens":514,"reasoning_output_tokens":310}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff7084ef72e2915f5779f3af5bb2655fba4123fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"nom_2\",\n SUM(CASE WHEN \"day\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"day\" = '2' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"nom_2\"\n)\nSELECT \"nom_2\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Instantiated the provided grouped ratio template with group_col=\"nom_2\" and condition_col=\"day\", using '1' as the numerator condition and '2' as the denominator condition. \"day\" is stored as TEXT in the schema snapshot, so the condition values are quoted as text literals."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c1ca0d06855066f5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e561f04c74796c1c522f34c14544f4c853cf260d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_0, measure_col=ord_0. +Result preview: [{"nom_0": "Green", "total_measure": 188383}, {"nom_0": "Blue", "total_measure": 142071}, {"nom_0": "Red", "total_measure": 113416}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cf920ecbdac3593f994960d816903c012f0f38cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_c4e58bb807a33117 +-- problem_id: v2p_c14_ba482e3bc47ef1e0 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_0", SUM(CAST("ord_0" AS NUMERIC)) AS total_measure +FROM "c14" +GROUP BY "nom_0" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c197898b5337d3585bddcce5c366a6fe582d9f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"nom_0\", SUM(CAST(\"ord_0\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_0\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_0\\\", SUM(CAST(\\\"ord_0\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"nom_0\", \"total_measure\"], \"rows\": [{\"nom_0\": \"Green\", \"total_measure\": 188383}, {\"nom_0\": \"Blue\", \"total_measure\": 142071}, {\"nom_0\": \"Red\", \"total_measure\": 113416}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 155.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8a29beda0fb9672e186bc489bb593355b73dbd85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:30:18.008353+00:00", + "ended_at": "2026-05-19T15:30:33.429934+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_c4e58bb807a33117", + "problem_id": "v2p_c14_ba482e3bc47ef1e0", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_0, measure_col=ord_0.", + "bindings": { + "group_col": "nom_0", + "measure_col": "ord_0", + "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": 2.32, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_c4e58bb807a33117.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c4e58bb807a33117", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 16296, + "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": 15245.73, + "sql_execution_elapsed_ms_total": 155.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/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_d/c14/artifacts/v2q_c14_c4e58bb807a33117/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ebf7612bd4f4f7017deac8f9b1fec42fda17cf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:33.271097+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15245.73, "started_at": "2026-05-19T15:30:18.024518+00:00", "ended_at": "2026-05-19T15:30:33.270278+00:00", "prompt_metrics": {"chars": 11685, "bytes_utf8": 11685, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15910, "cached_input_tokens": 12032, "output_tokens": 386, "reasoning_output_tokens": 277}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_0\\\", SUM(CAST(\\\"ord_0\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_0\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with group_col=\\\"nom_0\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cea80a7e94e9f4b1b030b2ff1aa6b430ad2c44aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c4e58bb807a33117", + "api_calls": 0, + "input_tokens": 15910, + "cached_input_tokens": 12032, + "output_tokens": 386, + "total_tokens": 16296, + "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": 15245.73, + "sql_execution_elapsed_ms_total": 155.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c4e58bb807a33117/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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0e49cdf9e7d1ea3c757f3746ec8f4c3e2c6a792c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/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": "2026-05-19T16:07:05.335717+00:00", + "ended_at": "2026-05-19T16:07:08.562139+00:00", + "elapsed_ms": 3226.39, + "returncode": 1, + "prompt_metrics": { + "chars": 11939, + "bytes_utf8": 11939, + "lines": 399, + "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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4680180882239e222d90f6a562d24ecdf7542e75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/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": "2026-05-19T16:07:09.564136+00:00", + "ended_at": "2026-05-19T16:07:12.706350+00:00", + "elapsed_ms": 3142.18, + "returncode": 1, + "prompt_metrics": { + "chars": 11939, + "bytes_utf8": 11939, + "lines": 399, + "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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c038366c9f3bf6f70ed2393e6c9f489272b211fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c038366c9f3bf6f70ed2393e6c9f489272b211fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ord_4, condition_col=target.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "ord_4", + "condition_col": "target", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bcb082d49c7b3675cc03d328b2cfc6fa9acf93d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-a675-7303-84e3-6cc2ff4ccc27"} +{"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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ec735612092bfc35cb3199a401adb2b9a37f606 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-a675-7303-84e3-6cc2ff4ccc27"} +{"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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c09cc688830ae2b34caf70181f980b0fbe737e1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b6fa-7f53-826f-3592c6f404bd"} +{"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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a0914006419dbfb7768dd23f1aabb0839022e2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b6fa-7f53-826f-3592c6f404bd"} +{"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_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c57337aa5c4e479f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..039fcee12fe63d5fcf8096a4f7ec8e46542d3112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11855, "bytes_utf8": 11855, "lines": 394, "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": 15957, "cached_input_tokens": 14720, "output_tokens": 469, "reasoning_output_tokens": 333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..67a66b3b4772bffc618beb2b5f3759ca04cde8d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_c69198c1c94767d9", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 469, + "total_tokens": 16426, + "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": 16816.86, + "sql_execution_elapsed_ms_total": 434.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/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_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6852119cd3b6af4b9319abddfdc1ffe6106debd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/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": "2026-05-19T15:46:53.769237+00:00", + "ended_at": "2026-05-19T15:47:10.586144+00:00", + "elapsed_ms": 16816.86, + "prompt_metrics": { + "chars": 11855, + "bytes_utf8": 11855, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1176, + "bytes_utf8": 1176, + "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": 468, + "bytes_utf8": 468, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 469, + "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_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84b916345c86bd4fbc69338f18ad8b1623ddee2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=day.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "day", + "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": "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_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea95ab2ebc8dad1f4e42c78909b39f9e053fdc41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40eb-2a48-7242-91aa-20e8a747831a"} +{"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 16592. Please try again in 497ms. 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 \\\"day\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"day\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"day\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"day\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"day\\\" and num_tiles=10. CAST(\\\"day\\\" AS INTEGER) is used because the schema stores \\\"day\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15957,"cached_input_tokens":14720,"output_tokens":469,"reasoning_output_tokens":333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ceda51b0545810276e25953c70f1bacfd72d52a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"day\",\n NTILE(10) OVER (ORDER BY CAST(\"day\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n)\nSELECT \"day\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"day\" AS INTEGER) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col=\"day\" and num_tiles=10. CAST(\"day\" AS INTEGER) is used because the schema stores \"day\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_c69198c1c94767d9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9bf63338b1a9a4cc238cf1abada77a1b6ed75796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:11:30.867053+00:00", + "ended_at": "2026-05-19T16:11:38.462744+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_cee1911e05a9f402", + "problem_id": "v2p_c14_0d974642aabb0266", + "dataset_id": "c14", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=nom_4, measure_col=month.", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "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": 8.64, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..abfcb7f6f8f67fa5123639f3e43ad225df76547e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_cee1911e05a9f402/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:34.146451+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3261.78, "started_at": "2026-05-19T16:11:30.883937+00:00", "ended_at": "2026-05-19T16:11:34.145742+00:00", "prompt_metrics": {"chars": 11769, "bytes_utf8": 11769, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-b3c8-7852-9e36-2d3824712002\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:11:38.462654+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3313.8, "started_at": "2026-05-19T16:11:35.148054+00:00", "ended_at": "2026-05-19T16:11:38.461889+00:00", "prompt_metrics": {"chars": 11769, "bytes_utf8": 11769, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-c459-7e33-9494-13678638b132\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6cd2f2456a12ff591cc6e0d45874481fa9698b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:11:45.496259+00:00", + "ended_at": "2026-05-19T16:11:52.579697+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_d0e77bdd53834529", + "problem_id": "v2p_c14_5999f63309f01abf", + "dataset_id": "c14", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=ord_0, measure_col=id.", + "bindings": { + "group_col": "ord_0", + "measure_col": "id", + "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": 150351.84, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1902ccdf37945de8b482c594cbd78fdb4aa6f9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d0e77bdd53834529/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:48.706338+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3192.0, "started_at": "2026-05-19T16:11:45.513492+00:00", "ended_at": "2026-05-19T16:11:48.705520+00:00", "prompt_metrics": {"chars": 11767, "bytes_utf8": 11767, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-ecda-7002-9682-9870711a144a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:11:52.579605+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2871.52, "started_at": "2026-05-19T16:11:49.707310+00:00", "ended_at": "2026-05-19T16:11:52.578863+00:00", "prompt_metrics": {"chars": 11767, "bytes_utf8": 11767, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-fd40-76c1-9ae6-07d8b2cbb336\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0a32c4b686ca7487eb59d794debdd02991df7d71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/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": "2026-05-19T16:12:29.541891+00:00", + "ended_at": "2026-05-19T16:12:35.320263+00:00", + "elapsed_ms": 5778.34, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6fa6686fcd0bb3922891e0d063a274271cb04d11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/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": "2026-05-19T16:12:36.323104+00:00", + "ended_at": "2026-05-19T16:12:39.513269+00:00", + "elapsed_ms": 3190.12, + "returncode": 1, + "prompt_metrics": { + "chars": 11769, + "bytes_utf8": 11769, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9463ac4ddd153fea4f7438ec09d2bc0a89bb77ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9463ac4ddd153fea4f7438ec09d2bc0a89bb77ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_3, measure_col=month.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "ord_3", + "measure_col": "month", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4274c2ebf1c6f2afdf6c8adb07c34dfe6c67bd4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-98de-7022-88f3-db1ad0de7bf3"} +{"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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e7c8318d04085e98727a70b1f384f3fcf8b88a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-98de-7022-88f3-db1ad0de7bf3"} +{"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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..edd2d01c80f40964c452306aa597ed7782800b86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-b385-7892-972c-9b1e67b5e09f"} +{"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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..21f2f7d55e5b74165e76a9ad13bd3c5f8704c79d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-b385-7892-972c-9b1e67b5e09f"} +{"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_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d14eaa2cd6181b39/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..45e112ac4fa2ba65678c5bffe481cf705031ef97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id. +Result preview: [{"empirical_cdf_at_threshold": 0.5753733333333333}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b195322f36404064aaa4283f4e103c62984b3f9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_c14_d4332cd09b35cefb +-- problem_id: v2p_c14_1155126bbd8e0666 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("id" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "c14"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fc42b4156f705264a67d56f94fafb00af4a9e03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"id\" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c14\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"id\\\" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c14\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.5753733333333333}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 44.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f547d5814a00b51620c1c8696eba2c5fae60bfdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:08:25.078213+00:00", + "ended_at": "2026-05-19T16:08:39.811637+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_d4332cd09b35cefb", + "problem_id": "v2p_c14_1155126bbd8e0666", + "dataset_id": "c14", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=id.", + "bindings": { + "measure_col": "id", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=116" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_d4332cd09b35cefb.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d4332cd09b35cefb", + "api_calls": 0, + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 628, + "total_tokens": 16521, + "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": 14668.84, + "sql_execution_elapsed_ms_total": 44.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/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_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..414c2dae180b83e777b9e165d5876da6e926cd61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:08:39.765436+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14668.84, "started_at": "2026-05-19T16:08:25.095675+00:00", "ended_at": "2026-05-19T16:08:39.764544+00:00", "prompt_metrics": {"chars": 11624, "bytes_utf8": 11624, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15893, "cached_input_tokens": 12032, "output_tokens": 628, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"id\\\" AS REAL) <= 172611.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c14\\\";\",\"notes\":\"Instantiated the Threshold Rarity CDF template on measure_col=\\\"id\\\" with threshold 172611.0. CAST(\\\"id\\\" AS REAL) is used because the schema stores id as TEXT, and numeric comparison is intended.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cd3b52388061df0895bd88372cb990b58cd8466e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d4332cd09b35cefb", + "api_calls": 0, + "input_tokens": 15893, + "cached_input_tokens": 12032, + "output_tokens": 628, + "total_tokens": 16521, + "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": 14668.84, + "sql_execution_elapsed_ms_total": 44.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d4332cd09b35cefb/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_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f2f347c610b41779ab949294c16cea5195ce0eb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 394, "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": 553, "bytes_utf8": 553, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15957, "cached_input_tokens": 14720, "output_tokens": 499, "reasoning_output_tokens": 345}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a6aa8d80461b4ec8ad8dc03698fda4c4c2112500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d5dbb009d9fa6250", + "api_calls": 0, + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 499, + "total_tokens": 16456, + "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": 11380.9, + "sql_execution_elapsed_ms_total": 440.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/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_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8565e33a0a115a2efa53814eb2b07fbc9bb17ce6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/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": "2026-05-19T15:46:10.659953+00:00", + "ended_at": "2026-05-19T15:46:22.040901+00:00", + "elapsed_ms": 11380.9, + "prompt_metrics": { + "chars": 11858, + "bytes_utf8": 11858, + "lines": 394, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 933, + "bytes_utf8": 933, + "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": 553, + "bytes_utf8": 553, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15957, + "cached_input_tokens": 14720, + "output_tokens": 499, + "reasoning_output_tokens": 345 + } + }, + "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_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..678d10760b890c2e6be3b2e49f988cd2c9ac786e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=month.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "month", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c76453c705771165100374eef2cd1846668e613 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-8165-70a1-808e-6f2d17b54c9b"} +{"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 \\\"month\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"month\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c14\\\"\\n)\\nSELECT \\\"month\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"month\\\" AS INTEGER) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"month\\\" and num_tiles bound to 10. CAST(\\\"month\\\" AS INTEGER) is applied because the schema stores month as TEXT but the role is numeric-discrete.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15957,"cached_input_tokens":14720,"output_tokens":499,"reasoning_output_tokens":345}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04cfbcd57f66277b328646298b605961a66b090c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"month\",\n NTILE(10) OVER (ORDER BY CAST(\"month\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"c14\"\n)\nSELECT \"month\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"month\" AS INTEGER) DESC;","notes":"Used the requested Quantile Tail Slice template with measure_col bound to \"month\" and num_tiles bound to 10. CAST(\"month\" AS INTEGER) is applied because the schema stores month as TEXT but the role is numeric-discrete."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d5dbb009d9fa6250/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..77e1c9cdaf35cecfdb28a46e56cf35f671728f0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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=day. +Result preview: [{"month": "6", "nom_7": "e14d5f3eb", "total_measure": 22.0, "share_within_group": 1.3571869216533003}, {"month": "6", "nom_7": "3f0057c9b", "total_measure": 14.0, "share_within_group": 0.863664404688464}, {"month": "6", "nom_7": "4dca91a1b", "total_measure": 14.0, "share_within_group": 0.863664404688464}, {"month": "6", "nom_7": "e1bdff4c4", "total_measure": 14.0, "share_within_group": 0.863664404688464}, {"month": "6", "nom_7": "ec387fa89", "total_measure": 14.0, "share_within_group": 0.863664404688464}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ae6f52f1c235632299b6a520bafd07b131933043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_d7624c8419be1b6f +-- problem_id: v2p_c14_e972abfd287dbb34 +-- realization_mode: agent +-- source_kind: agent +SELECT "month", "nom_7", + SUM(CAST("day" AS REAL)) AS total_measure, + SUM(CAST("day" AS REAL)) * 100.0 / SUM(SUM(CAST("day" AS REAL))) OVER (PARTITION BY "month") AS share_within_group +FROM "c14" +GROUP BY "month", "nom_7" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84f956ba23f781cebbd8413fa21a6b4a775e4cae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"month\", \"nom_7\",\n SUM(CAST(\"day\" AS REAL)) AS total_measure,\n SUM(CAST(\"day\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"day\" AS REAL))) OVER (PARTITION BY \"month\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"month\", \"nom_7\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"month\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"month\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"month\", \"nom_7\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"month\": \"6\", \"nom_7\": \"e14d5f3eb\", \"total_measure\": 22.0, \"share_within_group\": 1.3571869216533003}, {\"month\": \"6\", \"nom_7\": \"3f0057c9b\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"4dca91a1b\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"e1bdff4c4\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"ec387fa89\", \"total_measure\": 14.0, \"share_within_group\": 0.863664404688464}, {\"month\": \"6\", \"nom_7\": \"779c45830\", \"total_measure\": 13.0, \"share_within_group\": 0.8019740900678594}, {\"month\": \"6\", \"nom_7\": \"85495b390\", \"total_measure\": 13.0, \"share_within_group\": 0.8019740900678594}, {\"month\": \"6\", \"nom_7\": \"36d85d658\", \"total_measure\": 12.0, \"share_within_group\": 0.7402837754472548}, {\"month\": \"6\", \"nom_7\": \"5c064b2bf\", \"total_measure\": 11.0, \"share_within_group\": 0.6785934608266502}, {\"month\": \"6\", \"nom_7\": \"6f3940b72\", \"total_measure\": 11.0, \"share_within_group\": 0.6785934608266502}, {\"month\": \"6\", \"nom_7\": \"f31a506ec\", \"total_measure\": 11.0, \"share_within_group\": 0.6785934608266502}, {\"month\": \"6\", \"nom_7\": \"1c3f27dd8\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"38fa49974\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"3fa1d9901\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"50831f351\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"677329fb6\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"700924d38\", \"total_measure\": 10.0, \"share_within_group\": 0.6169031462060457}, {\"month\": \"6\", \"nom_7\": \"03c02132c\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"0e0637b46\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"17b83802f\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"24e9bf7d4\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"50b84bf39\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"5cf3ef747\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"b7a8563c3\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"c4a8e37bb\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"e2d4e02e1\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"f66675c18\", \"total_measure\": 9.0, \"share_within_group\": 0.5552128315854411}, {\"month\": \"6\", \"nom_7\": \"234fb5608\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"45fd460a6\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"74912d804\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"89072e3be\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"91473c44a\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"a09faf01e\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"a2ff76df0\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"be75a496b\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"be90beeea\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"bf899de6f\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"e47776758\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"e53c2bd92\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"eeba65bef\", \"total_measure\": 8.0, \"share_within_group\": 0.4935225169648365}, {\"month\": \"6\", \"nom_7\": \"09394408f\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"0ae0f174d\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"15c34fdba\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"1cd2547ac\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"21a9b0580\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"27c719804\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"2c8e13a9f\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"31c0ce565\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"370b29add\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}, {\"month\": \"6\", \"nom_7\": \"38acaf52e\", \"total_measure\": 7.0, \"share_within_group\": 0.431832202344232}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 351.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..baf2a2c9cfd50d617c182fe1cb2cd4596e516730 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:39:43.134586+00:00", + "ended_at": "2026-05-19T15:39:58.052865+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_d7624c8419be1b6f", + "problem_id": "v2p_c14_e972abfd287dbb34", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "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=day.", + "bindings": { + "group_col": "month", + "measure_col": "day", + "item_col": "nom_7", + "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": 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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=1/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_d7624c8419be1b6f.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d7624c8419be1b6f", + "api_calls": 0, + "input_tokens": 16022, + "cached_input_tokens": 14720, + "output_tokens": 566, + "total_tokens": 16588, + "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": 14545.72, + "sql_execution_elapsed_ms_total": 351.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/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_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c673821ab0242bf79497d21f9e149559b351c61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:57.697464+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14545.72, "started_at": "2026-05-19T15:39:43.150862+00:00", "ended_at": "2026-05-19T15:39:57.696614+00:00", "prompt_metrics": {"chars": 12085, "bytes_utf8": 12085, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 519, "bytes_utf8": 519, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16022, "cached_input_tokens": 14720, "output_tokens": 566, "reasoning_output_tokens": 410}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"month\\\", \\\"nom_7\\\",\\n SUM(CAST(\\\"day\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"day\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"day\\\" AS REAL))) OVER (PARTITION BY \\\"month\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"month\\\", \\\"nom_7\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template with group_col=\\\"month\\\", item_col=\\\"nom_7\\\", and measure_col=\\\"day\\\". CAST is applied because \\\"day\\\" is stored as TEXT in the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7907e385c41d735688762bdcba45024f359f80e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d7624c8419be1b6f", + "api_calls": 0, + "input_tokens": 16022, + "cached_input_tokens": 14720, + "output_tokens": 566, + "total_tokens": 16588, + "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": 14545.72, + "sql_execution_elapsed_ms_total": 351.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d7624c8419be1b6f/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_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ff3e3160026803f245acede54c42428151ae144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12237, "bytes_utf8": 12237, "lines": 396, "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": 618, "bytes_utf8": 618, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16044, "cached_input_tokens": 14720, "output_tokens": 441, "reasoning_output_tokens": 270}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..61632d4b6c23ae1709bb16187e4191474a2a2343 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_d962d801848415e1", + "api_calls": 0, + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 441, + "total_tokens": 16485, + "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": 9753.4, + "sql_execution_elapsed_ms_total": 178.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/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_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4cd615bc84063d8bd3c1ae3c767b76f161df840b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/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": "2026-05-19T15:50:54.464455+00:00", + "ended_at": "2026-05-19T15:51:04.217875+00:00", + "elapsed_ms": 9753.4, + "prompt_metrics": { + "chars": 12237, + "bytes_utf8": 12237, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 989, + "bytes_utf8": 989, + "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": 618, + "bytes_utf8": 618, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16044, + "cached_input_tokens": 14720, + "output_tokens": 441, + "reasoning_output_tokens": 270 + } + }, + "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_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1137c21888bb29988719cfb35ecd0fd9d4b1dfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=nom_2, measure_col=month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_2", + "measure_col": "month", + "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": 9.0, + "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_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..83260268980e39473ffc9c662000bb37509d41d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-d62a-7500-bbb2-b4299ec85147"} +{"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 \\\"nom_2\\\", SUM(CAST(\\\"month\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_2\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"nom_2\\\", 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 required Relative-to-Total Extreme Threshold template with group_col=\\\"nom_2\\\" and measure_col=\\\"month\\\". CAST is used because \\\"month\\\" is stored as TEXT in the schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16044,"cached_input_tokens":14720,"output_tokens":441,"reasoning_output_tokens":270}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..59c46ea938734f37735de72f0bc8a257e2503480 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_2\", SUM(CAST(\"month\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"nom_2\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"nom_2\", 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 required Relative-to-Total Extreme Threshold template with group_col=\"nom_2\" and measure_col=\"month\". CAST is used because \"month\" is stored as TEXT in the schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_d962d801848415e1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0eb1f7bc6a1568ee728fb81982af94a5009a3b73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/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": "2026-05-19T16:10:53.516433+00:00", + "ended_at": "2026-05-19T16:10:56.761999+00:00", + "elapsed_ms": 3245.52, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a075e9c2fe88677e86751c120ae9df688219a1aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/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": "2026-05-19T16:10:57.765293+00:00", + "ended_at": "2026-05-19T16:11:01.068912+00:00", + "elapsed_ms": 3303.57, + "returncode": 1, + "prompt_metrics": { + "chars": 11763, + "bytes_utf8": 11763, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58960abfca12b184c8f0e462f65bb26d0d5cc895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=nom_2, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "ord_0", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..58960abfca12b184c8f0e462f65bb26d0d5cc895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=nom_2, measure_col=ord_0.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "nom_2", + "measure_col": "ord_0", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4627d9290f3b6fecfd5816ece889cd802d84dbfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-21df-7241-ab14-75938db0f19a"} +{"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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac2db189e40c405c1504c73e03a535dbb2a53c65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-21df-7241-ab14-75938db0f19a"} +{"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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e56f491bc7ca6b738b6e7aa95b6a9d8cdef6185e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3268-74d1-baeb-4effd79f8c16"} +{"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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..343c6c493ce12b3eae0a1e3dc0f19b868cb53759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3268-74d1-baeb-4effd79f8c16"} +{"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_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_daba98c1591a27a6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ec3ee2832d6a3da458db2a4cd05b5d8860709ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11681, "bytes_utf8": 11681, "lines": 396, "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": 352, "bytes_utf8": 352, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7d151e13800e97dd5fbb6f12841e2c1b868d8b83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_deec0d936efb950a", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 16308, + "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": 11901.07, + "sql_execution_elapsed_ms_total": 131.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/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_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f044092895d9a559760cab52ea2bcd3dbce6ae42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/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": "2026-05-19T15:28:18.001471+00:00", + "ended_at": "2026-05-19T15:28:29.902578+00:00", + "elapsed_ms": 11901.07, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 718, + "bytes_utf8": 718, + "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": 352, + "bytes_utf8": 352, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 402, + "reasoning_output_tokens": 294 + } + }, + "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_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b12e90219667bca78125f7c34537cb6a41d1a7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_0, measure_col=id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "bin_0", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a54befd4b0e170f66741e14150c56f6fbfc941ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-2402-74e2-9a5d-dadc6f28ec65"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_0\\\", SUM(CAST(\\\"id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_0\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided grouped-sum template with group_col=\\\"bin_0\\\" and measure_col=\\\"id\\\". Cast \\\"id\\\" to NUMERIC because it is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":12032,"output_tokens":402,"reasoning_output_tokens":294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fe54ff80015cdbd43d96b35e9ffa4fe46f2b810 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_0\", SUM(CAST(\"id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c14\"\nGROUP BY \"bin_0\"\nORDER BY \"total_measure\" DESC;","notes":"Used the provided grouped-sum template with group_col=\"bin_0\" and measure_col=\"id\". Cast \"id\" to NUMERIC because it is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_deec0d936efb950a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6c614b6cb28ec4976430340ab32805a19ff1523 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_3, measure_col=month. +Result preview: [{"bin_3": "T", "total_measure": 886486}, {"bin_3": "F", "total_measure": 844848}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..36b915fbb8d87499f87e8773353bd6000b03f28e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c14_e505a4f54dc30323 +-- problem_id: v2p_c14_adcf5274895dc3e7 +-- realization_mode: agent +-- source_kind: agent +SELECT "bin_3", SUM(CAST("month" AS NUMERIC)) AS total_measure +FROM "c14" +GROUP BY "bin_3" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24666b82b4736fd70b260f016d734332ce1f95c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"bin_3\", SUM(CAST(\"month\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\nGROUP BY \"bin_3\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_3\\\", SUM(CAST(\\\"month\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"bin_3\", \"total_measure\"], \"rows\": [{\"bin_3\": \"T\", \"total_measure\": 886486}, {\"bin_3\": \"F\", \"total_measure\": 844848}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 148.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..47728ab6779f9860e44f60acd46ce3a4ba98bb98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:29:28.434170+00:00", + "ended_at": "2026-05-19T15:29:38.661828+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_e505a4f54dc30323", + "problem_id": "v2p_c14_adcf5274895dc3e7", + "dataset_id": "c14", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_3, measure_col=month.", + "bindings": { + "group_col": "bin_3", + "measure_col": "month", + "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": 8.64, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_e505a4f54dc30323.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e505a4f54dc30323", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 430, + "total_tokens": 16336, + "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": 10060.51, + "sql_execution_elapsed_ms_total": 148.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/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_d/c14/artifacts/v2q_c14_e505a4f54dc30323/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1e5ec4ce2a0b24229e0edfd4ae6f07a95620e376 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:38.511036+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10060.51, "started_at": "2026-05-19T15:29:28.449617+00:00", "ended_at": "2026-05-19T15:29:38.510152+00:00", "prompt_metrics": {"chars": 11685, "bytes_utf8": 11685, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 12032, "output_tokens": 430, "reasoning_output_tokens": 327}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_3\\\", SUM(CAST(\\\"month\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"bin_3\\\" and measure_col=\\\"month\\\". CAST is applied because \\\"month\\\" is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e54f8b73545b68d66a61cf66624440c97cb631d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e505a4f54dc30323", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 12032, + "output_tokens": 430, + "total_tokens": 16336, + "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": 10060.51, + "sql_execution_elapsed_ms_total": 148.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e505a4f54dc30323/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_d/c14/artifacts/v2q_c14_e7566d16e1bae554/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0eb28109277e70a9d9819659175cdcf36a1b8a49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=ord_0. +Result preview: [{"target": "0", "percentile_measure": 3.0}, {"target": "1", "percentile_measure": 3.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..182805237090b7a4230686e10a9adfcf0249c0f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/generated_sql.sql @@ -0,0 +1,56 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c14_e7566d16e1bae554 +-- problem_id: v2p_c14_176b9f79f6f8386d +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "target", + CAST("ord_0" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "target" + ORDER BY CAST("ord_0" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "target") AS "cnt" + FROM "c14" + WHERE "ord_0" IS NOT NULL +), +"params" AS ( + SELECT DISTINCT + "target", + (1.0 + 0.9 * ("cnt" - 1)) AS "rank_pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "floor_rn", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) = CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "ceil_rn" + FROM "ordered" +) +SELECT + "p"."target" AS "target", + CASE + WHEN "p"."floor_rn" = "p"."ceil_rn" THEN + MAX(CASE WHEN "o"."rn" = "p"."floor_rn" THEN "o"."measure_value" END) + ELSE + (("p"."ceil_rn" - "p"."rank_pos") * MAX(CASE WHEN "o"."rn" = "p"."floor_rn" THEN "o"."measure_value" END)) + + + (("p"."rank_pos" - "p"."floor_rn") * MAX(CASE WHEN "o"."rn" = "p"."ceil_rn" THEN "o"."measure_value" END)) + END AS "percentile_measure" +FROM "params" AS "p" +JOIN "ordered" AS "o" + ON "o"."target" IS "p"."target" +GROUP BY + "p"."target", + "p"."rank_pos", + "p"."floor_rn", + "p"."ceil_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ad81a353d7c6643fb36db1e0d311d8885b8f3f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"target\",\n CAST(\"ord_0\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"target\"\n ORDER BY CAST(\"ord_0\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"target\") AS \"cnt\"\n FROM \"c14\"\n WHERE \"ord_0\" IS NOT NULL\n),\n\"params\" AS (\n SELECT DISTINCT\n \"target\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"rank_pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"floor_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 \"ceil_rn\"\n FROM \"ordered\"\n)\nSELECT\n \"p\".\"target\" AS \"target\",\n CASE\n WHEN \"p\".\"floor_rn\" = \"p\".\"ceil_rn\" THEN\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"floor_rn\" THEN \"o\".\"measure_value\" END)\n ELSE\n ((\"p\".\"ceil_rn\" - \"p\".\"rank_pos\") * MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"floor_rn\" THEN \"o\".\"measure_value\" END))\n +\n ((\"p\".\"rank_pos\" - \"p\".\"floor_rn\") * MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"ceil_rn\" THEN \"o\".\"measure_value\" END))\n END AS \"percentile_measure\"\nFROM \"params\" AS \"p\"\nJOIN \"ordered\" AS \"o\"\n ON \"o\".\"target\" IS \"p\".\"target\"\nGROUP BY\n \"p\".\"target\",\n \"p\".\"rank_pos\",\n \"p\".\"floor_rn\",\n \"p\".\"ceil_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"target\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"target\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"target\\\") AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"target\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"rank_pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"floor_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 \\\"ceil_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n \\\"p\\\".\\\"target\\\" AS \\\"target\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"floor_rn\\\" = \\\"p\\\".\\\"ceil_rn\\\" THEN\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"floor_rn\\\" THEN \\\"o\\\".\\\"measure_value\\\" END)\\n ELSE\\n ((\\\"p\\\".\\\"ceil_rn\\\" - \\\"p\\\".\\\"rank_pos\\\") * MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"floor_rn\\\" THEN \\\"o\\\".\\\"measure_value\\\" END))\\n +\\n ((\\\"p\\\".\\\"rank_pos\\\" - \\\"p\\\".\\\"floor_rn\\\") * MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"ceil_rn\\\" THEN \\\"o\\\".\\\"measure_value\\\" END))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS \\\"p\\\"\\nJOIN \\\"ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"target\\\" IS \\\"p\\\".\\\"target\\\"\\nGROUP BY\\n \\\"p\\\".\\\"target\\\",\\n \\\"p\\\".\\\"rank_pos\\\",\\n \\\"p\\\".\\\"floor_rn\\\",\\n \\\"p\\\".\\\"ceil_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"target\", \"percentile_measure\"], \"rows\": [{\"target\": \"0\", \"percentile_measure\": 3.0}, {\"target\": \"1\", \"percentile_measure\": 3.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1189.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a7bcb6941a9c726b53fe281641711c8b5eb1e36c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:58:47.796063+00:00", + "ended_at": "2026-05-19T15:59:28.879025+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_e7566d16e1bae554", + "problem_id": "v2p_c14_176b9f79f6f8386d", + "dataset_id": "c14", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=target, measure_col=ord_0.", + "bindings": { + "group_col": "target", + "measure_col": "ord_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": 2.5, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_e7566d16e1bae554.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e7566d16e1bae554", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 2644, + "total_tokens": 18588, + "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": 39875.18, + "sql_execution_elapsed_ms_total": 1189.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/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_d/c14/artifacts/v2q_c14_e7566d16e1bae554/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5a939ed2258040d60b373da49bfb2a28abe18c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:27.688208+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 39875.18, "started_at": "2026-05-19T15:58:47.811692+00:00", "ended_at": "2026-05-19T15:59:27.686909+00:00", "prompt_metrics": {"chars": 11861, "bytes_utf8": 11861, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1766, "bytes_utf8": 1766, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 14720, "output_tokens": 2644, "reasoning_output_tokens": 2020}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"target\\\",\\n CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"target\\\"\\n ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"target\\\") AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"target\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"rank_pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"floor_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 \\\"ceil_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n \\\"p\\\".\\\"target\\\" AS \\\"target\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"floor_rn\\\" = \\\"p\\\".\\\"ceil_rn\\\" THEN\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"floor_rn\\\" THEN \\\"o\\\".\\\"measure_value\\\" EN"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bdd2be771785a1494ed4ea1f9d77b6cd114f6a03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e7566d16e1bae554", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 2644, + "total_tokens": 18588, + "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": 39875.18, + "sql_execution_elapsed_ms_total": 1189.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7566d16e1bae554/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_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd29ff3750ddbb645fa092e2d5b7005d142efe83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_3, condition_col=nom_3. +Result preview: [{"nom_3": "China", "condition_rate": 1.0}, {"nom_3": "Russia", "condition_rate": 0.0}, {"nom_3": "India", "condition_rate": 0.0}, {"nom_3": "Finland", "condition_rate": 0.0}, {"nom_3": "Costa Rica", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9762a59fa7ee4ceb0ac8e554074c59729838219b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c14_e7c5793d4021a52d +-- problem_id: v2p_c14_0b17adb633096470 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_3", + AVG(CASE WHEN "nom_3" = 'China' THEN 1 ELSE 0 END) AS condition_rate +FROM "c14" +GROUP BY "nom_3" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dc70c8d404f8160811534d0c069fcc0c33b3cbf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_3\",\n AVG(CASE WHEN \"nom_3\" = 'China' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c14\"\nGROUP BY \"nom_3\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_3\\\",\\n AVG(CASE WHEN \\\"nom_3\\\" = 'China' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"nom_3\", \"condition_rate\"], \"rows\": [{\"nom_3\": \"China\", \"condition_rate\": 1.0}, {\"nom_3\": \"Russia\", \"condition_rate\": 0.0}, {\"nom_3\": \"India\", \"condition_rate\": 0.0}, {\"nom_3\": \"Finland\", \"condition_rate\": 0.0}, {\"nom_3\": \"Costa Rica\", \"condition_rate\": 0.0}, {\"nom_3\": \"Canada\", \"condition_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 154.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..34add45b0d4882b4ef67d53b29b9f9795c09b7ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:05:15.178831+00:00", + "ended_at": "2026-05-19T16:05:23.733603+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_e7c5793d4021a52d", + "problem_id": "v2p_c14_0b17adb633096470", + "dataset_id": "c14", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=nom_3, condition_col=nom_3.", + "bindings": { + "group_col": "nom_3", + "condition_col": "nom_3", + "condition_value": "China", + "positive_value": "China", + "negative_value": "Finland", + "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": 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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_e7c5793d4021a52d.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e7c5793d4021a52d", + "api_calls": 0, + "input_tokens": 15973, + "cached_input_tokens": 14720, + "output_tokens": 292, + "total_tokens": 16265, + "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": 8380.58, + "sql_execution_elapsed_ms_total": 154.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/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_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc1ce59d8956b0eaf6907e84531ad702d32035d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:23.576610+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8380.58, "started_at": "2026-05-19T16:05:15.195252+00:00", "ended_at": "2026-05-19T16:05:23.575863+00:00", "prompt_metrics": {"chars": 11946, "bytes_utf8": 11946, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15973, "cached_input_tokens": 14720, "output_tokens": 292, "reasoning_output_tokens": 184}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_3\\\",\\n AVG(CASE WHEN \\\"nom_3\\\" = 'China' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_3\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \\\"nom_3\\\" and condition_value set to 'China'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1977c02b2b9f70b0b4762ec7fa11ce87340ecb7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e7c5793d4021a52d", + "api_calls": 0, + "input_tokens": 15973, + "cached_input_tokens": 14720, + "output_tokens": 292, + "total_tokens": 16265, + "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": 8380.58, + "sql_execution_elapsed_ms_total": 154.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e7c5793d4021a52d/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_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..816da8629e08f42efc144c21dd5f2c3faea2ef8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11678, "bytes_utf8": 11678, "lines": 396, "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": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15906, "cached_input_tokens": 14720, "output_tokens": 314, "reasoning_output_tokens": 212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1b6ed3bc05437152f611f03ab5edfbef5ffac44e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_e90b4a2f2d263a62", + "api_calls": 0, + "input_tokens": 15906, + "cached_input_tokens": 14720, + "output_tokens": 314, + "total_tokens": 16220, + "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": 11507.72, + "sql_execution_elapsed_ms_total": 179.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/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_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a7783da83d2dce952a57faee08453be707ce733 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/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": "2026-05-19T15:30:33.446831+00:00", + "ended_at": "2026-05-19T15:30:44.954578+00:00", + "elapsed_ms": 11507.72, + "prompt_metrics": { + "chars": 11678, + "bytes_utf8": 11678, + "lines": 396, + "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": 343, + "bytes_utf8": 343, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15906, + "cached_input_tokens": 14720, + "output_tokens": 314, + "reasoning_output_tokens": 212 + } + }, + "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_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87ec39039e158dd684da670b87e5961bc373d4d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=nom_1, measure_col=day.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "nom_1", + "measure_col": "day", + "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}, 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_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..abea7e79c5b95b3cb196af718c1baa7ed229ce4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-3498-7b62-88c1-a83cc64e7568"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"nom_1\\\", SUM(CAST(\\\"day\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"nom_1\\\" and measure_col=\\\"day\\\". CAST is applied because \\\"day\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15906,"cached_input_tokens":14720,"output_tokens":314,"reasoning_output_tokens":212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72509ffa4dd191f23d1f23f68817965f8b2a8eb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"nom_1\", SUM(CAST(\"day\" AS NUMERIC)) AS total_measure\nFROM \"c14\"\nGROUP BY \"nom_1\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped-sum template with group_col=\"nom_1\" and measure_col=\"day\". CAST is applied because \"day\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_e90b4a2f2d263a62/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f866e0f752830df6c5af13d59453098321d9f55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12235, "bytes_utf8": 12235, "lines": 396, "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": 642, "bytes_utf8": 642, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16042, "cached_input_tokens": 14720, "output_tokens": 650, "reasoning_output_tokens": 469}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a958fd835f7c0a8461f7f8ca0556521b8b814fab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_eee0635be8741d4d", + "api_calls": 0, + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 650, + "total_tokens": 16692, + "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": 21200.82, + "sql_execution_elapsed_ms_total": 159.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/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_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ebb763cf565a46141954432b8de15c2e973d7bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/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": "2026-05-19T15:51:16.597446+00:00", + "ended_at": "2026-05-19T15:51:37.798301+00:00", + "elapsed_ms": 21200.82, + "prompt_metrics": { + "chars": 12235, + "bytes_utf8": 12235, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1045, + "bytes_utf8": 1045, + "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": 642, + "bytes_utf8": 642, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16042, + "cached_input_tokens": 14720, + "output_tokens": 650, + "reasoning_output_tokens": 469 + } + }, + "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_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cfae71d9b7efc7f5bac8c19a32728e9061b88b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=nom_3, measure_col=id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "nom_3", + "measure_col": "id", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..df714a4722604b9e120ed61e2845ebec0b6de6f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-2ca0-7d92-82c3-5d681331eefb"} +{"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 \\\"nom_3\\\", COUNT(\\\"id\\\") AS \\\"group_value\\\"\\n FROM \\\"c14\\\"\\n GROUP BY \\\"nom_3\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"nom_3\\\", 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=\\\"nom_3\\\" and adapted measure_col=\\\"id\\\" to COUNT(\\\"id\\\") because the requested semantic role is count_distribution and \\\"id\\\" is an identifier-like TEXT field.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16042,"cached_input_tokens":14720,"output_tokens":650,"reasoning_output_tokens":469}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..18f050feafd7ddbf4f1fdc210f7fed8951963b1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"nom_3\", COUNT(\"id\") AS \"group_value\"\n FROM \"c14\"\n GROUP BY \"nom_3\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"nom_3\", 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=\"nom_3\" and adapted measure_col=\"id\" to COUNT(\"id\") because the requested semantic role is count_distribution and \"id\" is an identifier-like TEXT field."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_eee0635be8741d4d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e7f4061427f810282d995c6b9e05e9e7637743e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/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": "2026-05-19T16:10:02.276760+00:00", + "ended_at": "2026-05-19T16:10:05.334657+00:00", + "elapsed_ms": 3057.87, + "returncode": 1, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a426d80ad300cb4900f57995e0538e1234e7eddc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/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": "2026-05-19T16:10:06.336357+00:00", + "ended_at": "2026-05-19T16:10:09.285780+00:00", + "elapsed_ms": 2949.39, + "returncode": 1, + "prompt_metrics": { + "chars": 11681, + "bytes_utf8": 11681, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84f0f5e1faacdf99e490918ad3bf5615b6209e60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..84f0f5e1faacdf99e490918ad3bf5615b6209e60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=target.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "target", + "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": 2.5, + "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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbbd93cfe267da662eef3cc9199b90fe6744fe2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-59a0-79b3-a7ce-5aa09c748ee2"} +{"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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ab97746b678730b15b2245df2670b69f5453eee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-59a0-79b3-a7ce-5aa09c748ee2"} +{"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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..41d8cee1448d44438a43774c19b6cebaed9eb42e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6984-7f83-a927-124be0ca5b5b"} +{"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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f105c0a07fc959907b0c7c8c500e791aa970ac6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6984-7f83-a927-124be0ca5b5b"} +{"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_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f18e53d494cd9ced/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..93956186fa8fac8d605c7edf1b2056c82d74d16d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_2. +Result preview: [{"ord_2": "Freezing", "row_count": 99816}, {"ord_2": "Lava Hot", "row_count": 63908}, {"ord_2": "Boiling Hot", "row_count": 60627}, {"ord_2": "Cold", "row_count": 33768}, {"ord_2": "Hot", "row_count": 22227}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad644d12a4808139b5d9e300422adfc3d1ede6c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_c14_f41c25d5cea06dc8 +-- problem_id: v2p_c14_c8fd6cfe572f31a5 +-- realization_mode: agent +-- source_kind: agent +SELECT "ord_2", COUNT(*) AS row_count +FROM "c14" +GROUP BY "ord_2" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e75597805449a54c55a3f829a8bfdec101a27b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"ord_2\", COUNT(*) AS row_count\nFROM \"c14\"\nGROUP BY \"ord_2\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ord_2\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_2\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"ord_2\", \"row_count\"], \"rows\": [{\"ord_2\": \"Freezing\", \"row_count\": 99816}, {\"ord_2\": \"Lava Hot\", \"row_count\": 63908}, {\"ord_2\": \"Boiling Hot\", \"row_count\": 60627}, {\"ord_2\": \"Cold\", \"row_count\": 33768}, {\"ord_2\": \"Hot\", \"row_count\": 22227}, {\"ord_2\": \"Warm\", \"row_count\": 19654}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 143.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f91174bd489a9d222bab95ad9e3b256684c10ba3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:31:49.340662+00:00", + "ended_at": "2026-05-19T15:32:03.577430+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_f41c25d5cea06dc8", + "problem_id": "v2p_c14_c8fd6cfe572f31a5", + "dataset_id": "c14", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=ord_2.", + "bindings": { + "group_col": "ord_2", + "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": 172611.0, + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=12" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_f41c25d5cea06dc8.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f41c25d5cea06dc8", + "api_calls": 0, + "input_tokens": 15882, + "cached_input_tokens": 12032, + "output_tokens": 212, + "total_tokens": 16094, + "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": 14073.66, + "sql_execution_elapsed_ms_total": 143.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/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_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..800f3f1fcc1bf599b3247fe3cc168defcfbf05b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:03.431854+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14073.66, "started_at": "2026-05-19T15:31:49.356521+00:00", "ended_at": "2026-05-19T15:32:03.430218+00:00", "prompt_metrics": {"chars": 11603, "bytes_utf8": 11603, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 268, "bytes_utf8": 268, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15882, "cached_input_tokens": 12032, "output_tokens": 212, "reasoning_output_tokens": 137}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"ord_2\\\", COUNT(*) AS row_count\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by category on \\\"ord_2\\\" using the planned template to inspect subgroup size distribution.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3d51964471ce8c9428e643405baaf85a7d4fcb62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f41c25d5cea06dc8", + "api_calls": 0, + "input_tokens": 15882, + "cached_input_tokens": 12032, + "output_tokens": 212, + "total_tokens": 16094, + "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": 14073.66, + "sql_execution_elapsed_ms_total": 143.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f41c25d5cea06dc8/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_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b68599d59f2c412cc00a4fdff0af598f49a1e0b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12502, "bytes_utf8": 12502, "lines": 399, "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": 16120, "cached_input_tokens": 14720, "output_tokens": 611, "reasoning_output_tokens": 424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8ad164eff4ab7aa919aea8a2d0b244feae436ab6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f4fbff6e990fbc24", + "api_calls": 0, + "input_tokens": 16120, + "cached_input_tokens": 14720, + "output_tokens": 611, + "total_tokens": 16731, + "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": 47734.82, + "sql_execution_elapsed_ms_total": 162.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/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_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1edcd34704a7333c3c60e1cc11abe5e744a9a17d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/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": "2026-05-19T15:40:46.485791+00:00", + "ended_at": "2026-05-19T15:41:34.220641+00:00", + "elapsed_ms": 47734.82, + "prompt_metrics": { + "chars": 12502, + "bytes_utf8": 12502, + "lines": 399, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1010, + "bytes_utf8": 1010, + "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": 16120, + "cached_input_tokens": 14720, + "output_tokens": 611, + "reasoning_output_tokens": 424 + } + }, + "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_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d7893a39aa3768dacc58c9bdb37d45f08fab59b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,399 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=bin_2, condition_col=nom_3.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "bin_2", + "condition_col": "nom_3", + "condition_value": "China", + "positive_value": "China", + "negative_value": "Finland", + "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": 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_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fea762bc21361703c40e5de4173211c42422770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-8f1a-79d2-83f0-8304c9fc627d"} +{"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 \\\"bin_2\\\",\\n SUM(CASE WHEN \\\"nom_3\\\" = 'China' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"nom_3\\\" = 'Finland' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_2\\\"\\n)\\nSELECT \\\"bin_2\\\",\\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=\\\"bin_2\\\" and condition_col=\\\"nom_3\\\", computing count('China') divided by count('Finland') per group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16120,"cached_input_tokens":14720,"output_tokens":611,"reasoning_output_tokens":424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c74927e176bdaa3de322b8718108a22c7cfedfe2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"bin_2\",\n SUM(CASE WHEN \"nom_3\" = 'China' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"nom_3\" = 'Finland' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c14\"\n GROUP BY \"bin_2\"\n)\nSELECT \"bin_2\",\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=\"bin_2\" and condition_col=\"nom_3\", computing count('China') divided by count('Finland') per group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f4fbff6e990fbc24/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d74b6c8b67484d4d35d05fef140fe8aafca402e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2", "support": 45305, "support_share": 0.15101666666666666, "cumulative_support": 45305}, {"value_label": "3", "support": 40867, "support_share": 0.13622333333333334, "cumulative_support": 86172}, {"value_label": "1", "support": 40848, "support_share": 0.13616, "cumulative_support": 127020}, {"value_label": "11", "support": 25732, "support_share": 0.08577333333333333, "cumulative_support": 152752}, {"value_label": "12", "support": 25204, "support_share": 0.08401333333333333, "cumulative_support": 177956}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4a042938a191651f2dd1a0cceb8b26a3cdb11ab7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c14_f5a5ac39571242c2 +-- problem_id: v2p_c14_028542b895424bb8 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "month" AS value_label, COUNT(*) AS support + FROM "c14" + GROUP BY "month" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7203163a68a7bab4e06a94ad9a954d07d3b802ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c14_f5a5ac39571242c2\n-- problem_id: v2p_c14_028542b895424bb8\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"month\" AS value_label, COUNT(*) AS support\n FROM \"c14\"\n GROUP BY \"month\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c14_f5a5ac39571242c2\\n-- problem_id: v2p_c14_028542b895424bb8\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"month\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c14\\\"\\n GROUP BY \\\"month\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"2\", \"support\": 45305, \"support_share\": 0.15101666666666666, \"cumulative_support\": 45305}, {\"value_label\": \"3\", \"support\": 40867, \"support_share\": 0.13622333333333334, \"cumulative_support\": 86172}, {\"value_label\": \"1\", \"support\": 40848, \"support_share\": 0.13616, \"cumulative_support\": 127020}, {\"value_label\": \"11\", \"support\": 25732, \"support_share\": 0.08577333333333333, \"cumulative_support\": 152752}, {\"value_label\": \"12\", \"support\": 25204, \"support_share\": 0.08401333333333333, \"cumulative_support\": 177956}, {\"value_label\": \"4\", \"support\": 24920, \"support_share\": 0.08306666666666666, \"cumulative_support\": 202876}, {\"value_label\": \"9\", \"support\": 24857, \"support_share\": 0.08285666666666666, \"cumulative_support\": 227733}, {\"value_label\": \"10\", \"support\": 22112, \"support_share\": 0.07370666666666667, \"cumulative_support\": 249845}, {\"value_label\": \"7\", \"support\": 19867, \"support_share\": 0.06622333333333333, \"cumulative_support\": 269712}, {\"value_label\": \"8\", \"support\": 18730, \"support_share\": 0.062433333333333334, \"cumulative_support\": 288442}, {\"value_label\": \"5\", \"support\": 10995, \"support_share\": 0.03665, \"cumulative_support\": 299437}, {\"value_label\": \"6\", \"support\": 563, \"support_share\": 0.0018766666666666667, \"cumulative_support\": 300000}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 159.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f38a5f1f96564654be8bf7515d024f9e01bc3c54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:12:55.159502+00:00", + "ended_at": "2026-05-19T16:12:55.320373+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_f5a5ac39571242c2", + "problem_id": "v2p_c14_028542b895424bb8", + "dataset_id": "c14", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=month.", + "bindings": { + "group_col": "month" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_f5a5ac39571242c2.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5a5ac39571242c2/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..94052001ccf9269657b9ce31e94a54ae4387b699 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_4, measure_col=month. +Result preview: [{"nom_4": "Theremin", "nom_8": "6da888acf", "total_measure": 404.0, "share_within_group": 0.12747535686789263}, {"nom_4": "Bassoon", "nom_8": "0ec45f250", "total_measure": 501.0, "share_within_group": 0.12689969604863222}, {"nom_4": "Oboe", "nom_8": "5013e2094", "total_measure": 637.0, "share_within_group": 0.11958982754283268}, {"nom_4": "Theremin", "nom_8": "46637170c", "total_measure": 373.0, "share_within_group": 0.11769383195971274}, {"nom_4": "Piano", "nom_8": "8a2663908", "total_measure": 571.0, "share_within_group": 0.1172590542061295}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c8f5b30d205d8a1380df973cfa445b0ff7138a7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c14_f5e03d5013932456 +-- problem_id: v2p_c14_afc0cd04643cc5a6 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_4", "nom_8", + SUM(CAST("month" AS REAL)) AS total_measure, + SUM(CAST("month" AS REAL)) * 100.0 / SUM(SUM(CAST("month" AS REAL))) OVER (PARTITION BY "nom_4") AS share_within_group +FROM "c14" +GROUP BY "nom_4", "nom_8" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac1acbd602da862df91d7b2cbb776531836026f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"nom_4\", \"nom_8\",\n SUM(CAST(\"month\" AS REAL)) AS total_measure,\n SUM(CAST(\"month\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"month\" AS REAL))) OVER (PARTITION BY \"nom_4\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"nom_4\", \"nom_8\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_4\\\", \\\"nom_8\\\",\\n SUM(CAST(\\\"month\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"month\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"month\\\" AS REAL))) OVER (PARTITION BY \\\"nom_4\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\", \\\"nom_8\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"nom_4\", \"nom_8\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"nom_4\": \"Theremin\", \"nom_8\": \"6da888acf\", \"total_measure\": 404.0, \"share_within_group\": 0.12747535686789263}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"0ec45f250\", \"total_measure\": 501.0, \"share_within_group\": 0.12689969604863222}, {\"nom_4\": \"Oboe\", \"nom_8\": \"5013e2094\", \"total_measure\": 637.0, \"share_within_group\": 0.11958982754283268}, {\"nom_4\": \"Theremin\", \"nom_8\": \"46637170c\", \"total_measure\": 373.0, \"share_within_group\": 0.11769383195971274}, {\"nom_4\": \"Piano\", \"nom_8\": \"8a2663908\", \"total_measure\": 571.0, \"share_within_group\": 0.1172590542061295}, {\"nom_4\": \"Piano\", \"nom_8\": \"c72b78ad7\", \"total_measure\": 571.0, \"share_within_group\": 0.1172590542061295}, {\"nom_4\": \"Piano\", \"nom_8\": \"f7234f3a4\", \"total_measure\": 571.0, \"share_within_group\": 0.1172590542061295}, {\"nom_4\": \"Piano\", \"nom_8\": \"cd91fa17f\", \"total_measure\": 567.0, \"share_within_group\": 0.11643762475459796}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"3032ce76e\", \"total_measure\": 459.0, \"share_within_group\": 0.11626139817629179}, {\"nom_4\": \"Theremin\", \"nom_8\": \"3cec7c3f5\", \"total_measure\": 368.0, \"share_within_group\": 0.11611616665194179}, {\"nom_4\": \"Theremin\", \"nom_8\": \"a4ba24658\", \"total_measure\": 367.0, \"share_within_group\": 0.1158006335903876}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"1470798e4\", \"total_measure\": 455.0, \"share_within_group\": 0.11524822695035461}, {\"nom_4\": \"Theremin\", \"nom_8\": \"d69adef8b\", \"total_measure\": 365.0, \"share_within_group\": 0.11516956746727922}, {\"nom_4\": \"Theremin\", \"nom_8\": \"f4e2b7052\", \"total_measure\": 360.0, \"share_within_group\": 0.11359190215950828}, {\"nom_4\": \"Oboe\", \"nom_8\": \"d9e105c14\", \"total_measure\": 603.0, \"share_within_group\": 0.1132066970303424}, {\"nom_4\": \"Piano\", \"nom_8\": \"d1316ead6\", \"total_measure\": 551.0, \"share_within_group\": 0.11315190694847173}, {\"nom_4\": \"Theremin\", \"nom_8\": \"e48171ccd\", \"total_measure\": 358.0, \"share_within_group\": 0.11296083603639989}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"053b5acae\", \"total_measure\": 444.0, \"share_within_group\": 0.11246200607902736}, {\"nom_4\": \"Oboe\", \"nom_8\": \"b14330b87\", \"total_measure\": 597.0, \"share_within_group\": 0.11208026223402058}, {\"nom_4\": \"Theremin\", \"nom_8\": \"dab3adf54\", \"total_measure\": 355.0, \"share_within_group\": 0.11201423685173732}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"c3938ecbe\", \"total_measure\": 442.0, \"share_within_group\": 0.11195542046605876}, {\"nom_4\": \"Piano\", \"nom_8\": \"b7f127f12\", \"total_measure\": 544.0, \"share_within_group\": 0.11171440540829151}, {\"nom_4\": \"Theremin\", \"nom_8\": \"1778df329\", \"total_measure\": 354.0, \"share_within_group\": 0.11169870379018314}, {\"nom_4\": \"Theremin\", \"nom_8\": \"2c15d0173\", \"total_measure\": 354.0, \"share_within_group\": 0.11169870379018314}, {\"nom_4\": \"Piano\", \"nom_8\": \"7e0338e4e\", \"total_measure\": 543.0, \"share_within_group\": 0.11150904804540862}, {\"nom_4\": \"Oboe\", \"nom_8\": \"4bbe95f85\", \"total_measure\": 590.0, \"share_within_group\": 0.11076608830497847}, {\"nom_4\": \"Piano\", \"nom_8\": \"1484cacf0\", \"total_measure\": 539.0, \"share_within_group\": 0.11068761859387706}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"017fc2f26\", \"total_measure\": 436.0, \"share_within_group\": 0.11043566362715299}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"ea392401b\", \"total_measure\": 436.0, \"share_within_group\": 0.11043566362715299}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"478dceafe\", \"total_measure\": 435.0, \"share_within_group\": 0.11018237082066869}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"a666f7dc4\", \"total_measure\": 435.0, \"share_within_group\": 0.11018237082066869}, {\"nom_4\": \"Theremin\", \"nom_8\": \"8c98ff8ed\", \"total_measure\": 349.0, \"share_within_group\": 0.11012103848241218}, {\"nom_4\": \"Theremin\", \"nom_8\": \"8feab4393\", \"total_measure\": 349.0, \"share_within_group\": 0.11012103848241218}, {\"nom_4\": \"Theremin\", \"nom_8\": \"c72b78ad7\", \"total_measure\": 349.0, \"share_within_group\": 0.11012103848241218}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"bb2c599dd\", \"total_measure\": 434.0, \"share_within_group\": 0.1099290780141844}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"edfc6cc92\", \"total_measure\": 434.0, \"share_within_group\": 0.1099290780141844}, {\"nom_4\": \"Piano\", \"nom_8\": \"be5418e47\", \"total_measure\": 535.0, \"share_within_group\": 0.10986618914234551}, {\"nom_4\": \"Theremin\", \"nom_8\": \"9ff6898e5\", \"total_measure\": 348.0, \"share_within_group\": 0.109805505420858}, {\"nom_4\": \"Oboe\", \"nom_8\": \"6091ae118\", \"total_measure\": 583.0, \"share_within_group\": 0.10945191437593635}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"c699c36c7\", \"total_measure\": 432.0, \"share_within_group\": 0.1094224924012158}, {\"nom_4\": \"Piano\", \"nom_8\": \"d249a507d\", \"total_measure\": 532.0, \"share_within_group\": 0.10925011705369685}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"be5418e47\", \"total_measure\": 430.0, \"share_within_group\": 0.10891590678824721}, {\"nom_4\": \"Theremin\", \"nom_8\": \"8657e6376\", \"total_measure\": 344.0, \"share_within_group\": 0.10854337317464124}, {\"nom_4\": \"Theremin\", \"nom_8\": \"4682c2b81\", \"total_measure\": 343.0, \"share_within_group\": 0.10822784011308705}, {\"nom_4\": \"Theremin\", \"nom_8\": \"9b6150ff9\", \"total_measure\": 343.0, \"share_within_group\": 0.10822784011308705}, {\"nom_4\": \"Bassoon\", \"nom_8\": \"de9c9f684\", \"total_measure\": 427.0, \"share_within_group\": 0.10815602836879433}, {\"nom_4\": \"Oboe\", \"nom_8\": \"eac634872\", \"total_measure\": 576.0, \"share_within_group\": 0.10813774044689423}, {\"nom_4\": \"Piano\", \"nom_8\": \"4535346a3\", \"total_measure\": 526.0, \"share_within_group\": 0.10801797287639951}, {\"nom_4\": \"Piano\", \"nom_8\": \"d20454f08\", \"total_measure\": 526.0, \"share_within_group\": 0.10801797287639951}, {\"nom_4\": \"Oboe\", \"nom_8\": \"4d43ad72b\", \"total_measure\": 575.0, \"share_within_group\": 0.10795000131417393}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 364.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a08883cbbd814e9c431cf8e8fbe2dc2587513c9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T15:35:55.429481+00:00", + "ended_at": "2026-05-19T15:36:12.793951+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_f5e03d5013932456", + "problem_id": "v2p_c14_afc0cd04643cc5a6", + "dataset_id": "c14", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=nom_4, measure_col=month.", + "bindings": { + "group_col": "nom_4", + "measure_col": "month", + "item_col": "nom_8", + "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": 9.0, + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_f5e03d5013932456.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f5e03d5013932456", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 862, + "total_tokens": 16887, + "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": 16979.47, + "sql_execution_elapsed_ms_total": 364.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/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_d/c14/artifacts/v2q_c14_f5e03d5013932456/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f21d12356dc22f7568076c79995fe83e56fb915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:12.426271+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16979.47, "started_at": "2026-05-19T15:35:55.445790+00:00", "ended_at": "2026-05-19T15:36:12.425290+00:00", "prompt_metrics": {"chars": 12084, "bytes_utf8": 12084, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 538, "bytes_utf8": 538, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 12032, "output_tokens": 862, "reasoning_output_tokens": 695}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"nom_4\\\", \\\"nom_8\\\",\\n SUM(CAST(\\\"month\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"month\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"month\\\" AS REAL))) OVER (PARTITION BY \\\"nom_4\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\", \\\"nom_8\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"nom_4\\\", item_col=\\\"nom_8\\\", and measure_col=\\\"month\\\". \\\"month\\\" is cast to REAL because it is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..49a978532b3817e005c47b091b646f6f119762c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f5e03d5013932456", + "api_calls": 0, + "input_tokens": 16025, + "cached_input_tokens": 12032, + "output_tokens": 862, + "total_tokens": 16887, + "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": 16979.47, + "sql_execution_elapsed_ms_total": 364.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f5e03d5013932456/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_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..35169281cc62c39a5d5c2297138e4611c7f752ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:11:59.625192+00:00", + "ended_at": "2026-05-19T16:12:07.162449+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_f64ff7fc10b25729", + "problem_id": "v2p_c14_8a582aa31b30ca4c", + "dataset_id": "c14", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=ord_1, measure_col=ord_0.", + "bindings": { + "group_col": "ord_1", + "measure_col": "ord_0", + "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": 2.32, + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..374e0f8741b46b00a4a845f07f7b5720d5362756 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f64ff7fc10b25729/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:02.877651+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3233.58, "started_at": "2026-05-19T16:11:59.643272+00:00", "ended_at": "2026-05-19T16:12:02.876884+00:00", "prompt_metrics": {"chars": 11769, "bytes_utf8": 11769, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-2414-71c0-8b77-29d6eca7e556\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:12:07.162333+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3282.29, "started_at": "2026-05-19T16:12:03.879011+00:00", "ended_at": "2026-05-19T16:12:07.161342+00:00", "prompt_metrics": {"chars": 11769, "bytes_utf8": 11769, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-34a4-7800-a7b0-46de334eb233\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5dd4d9d960937cdc49c1d2289d011d85a085e479 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11864, "bytes_utf8": 11864, "lines": 396, "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": 11864, "bytes_utf8": 11864, "lines": 396, "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": 939, "bytes_utf8": 939, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 14720, "output_tokens": 3046, "reasoning_output_tokens": 2765}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a7e2a3d17118d5cf8f895cb99805b0bf4c60741f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_f8f2b720000b0608", + "api_calls": 0, + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3046, + "total_tokens": 18990, + "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": 48509.26, + "sql_execution_elapsed_ms_total": 997.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/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_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84fe82da5daea4ba11113c4f4e62817eaa313597 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/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": "2026-05-19T16:01:53.504467+00:00", + "ended_at": "2026-05-19T16:01:56.701744+00:00", + "elapsed_ms": 3197.25, + "returncode": 1, + "prompt_metrics": { + "chars": 11864, + "bytes_utf8": 11864, + "lines": 396, + "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_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4a776da9f4f6078c833b17bd63344de6a1c8f726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/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": "2026-05-19T16:01:57.704250+00:00", + "ended_at": "2026-05-19T16:02:43.016311+00:00", + "elapsed_ms": 45312.01, + "prompt_metrics": { + "chars": 11864, + "bytes_utf8": 11864, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1390, + "bytes_utf8": 1390, + "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": 939, + "bytes_utf8": 939, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15944, + "cached_input_tokens": 14720, + "output_tokens": 3046, + "reasoning_output_tokens": 2765 + } + }, + "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_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..caf3d086500e44858c1e45d0d44a1e4ca834c418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_1, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_1", + "measure_col": "month", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..caf3d086500e44858c1e45d0d44a1e4ca834c418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=bin_1, measure_col=month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "bin_1", + "measure_col": "month", + "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": 8.64, + "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_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..39f07cd0e1f56ed34d8487d166c2ef25306cebb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-e474-73b3-a80a-0a08c40ed470"} +{"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_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4545d7ed3190d3e44275bdb2c811972b6574f3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-e474-73b3-a80a-0a08c40ed470"} +{"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_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1fd308b1f0bd1bc614e0f8865369784dc615f41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-f4e5-7201-88d1-159fd9673d3e"} +{"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 \\\"bin_1\\\" AS \\\"group_col\\\",\\n CAST(\\\"month\\\" AS INTEGER) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"bin_1\\\"\\n ORDER BY CAST(\\\"month\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"bin_1\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c14\\\"\\n WHERE \\\"bin_1\\\" IS NOT NULL\\n AND \\\"month\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"bin_1\\\",\\n MAX(CASE\\n WHEN \\\"rn\\\" = ((95 * \\\"cnt\\\" + 99) / 100) THEN \\\"measure_value\\\"\\n END) AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Implements the grouped percentile template for group_col=\\\"bin_1\\\" and measure_col=\\\"month\\\". SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th-percentile calculation with window functions and casts \\\"month\\\" from TEXT to INTEGER.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":14720,"output_tokens":3046,"reasoning_output_tokens":2765}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7989eaead30a9d4c304e1fd90781e3b3e3e250a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"bin_1\" AS \"group_col\",\n CAST(\"month\" AS INTEGER) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"bin_1\"\n ORDER BY CAST(\"month\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"bin_1\"\n ) AS \"cnt\"\n FROM \"c14\"\n WHERE \"bin_1\" IS NOT NULL\n AND \"month\" IS NOT NULL\n)\nSELECT\n \"group_col\" AS \"bin_1\",\n MAX(CASE\n WHEN \"rn\" = ((95 * \"cnt\" + 99) / 100) THEN \"measure_value\"\n END) AS \"percentile_measure\"\nFROM \"ranked\"\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;","notes":"Implements the grouped percentile template for group_col=\"bin_1\" and measure_col=\"month\". SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th-percentile calculation with window functions and casts \"month\" from TEXT to INTEGER."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_f8f2b720000b0608/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7e5df656d403875f6cc44e3d9e97c901065eaed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=nom_4, condition_col=nom_4. +Result preview: [{"nom_4": "Bassoon", "condition_rate": 1.0}, {"nom_4": "Theremin", "condition_rate": 0.0}, {"nom_4": "Piano", "condition_rate": 0.0}, {"nom_4": "Oboe", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5233b924378289e0990905d08192c526c5b4ca40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c14 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c14_fb1b35fbde9a324f +-- problem_id: v2p_c14_155902ae93f2ce83 +-- realization_mode: agent +-- source_kind: agent +SELECT "nom_4", + AVG(CASE WHEN "nom_4" = 'Bassoon' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "c14" +GROUP BY "nom_4" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..069c943fe5ebfe2611dcf3d5381d3339aacea1b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"nom_4\",\n AVG(CASE WHEN \"nom_4\" = 'Bassoon' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c14\"\nGROUP BY \"nom_4\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_4\\\",\\n AVG(CASE WHEN \\\"nom_4\\\" = 'Bassoon' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"nom_4\", \"condition_rate\"], \"rows\": [{\"nom_4\": \"Bassoon\", \"condition_rate\": 1.0}, {\"nom_4\": \"Theremin\", \"condition_rate\": 0.0}, {\"nom_4\": \"Piano\", \"condition_rate\": 0.0}, {\"nom_4\": \"Oboe\", \"condition_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 142.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1e2b88019c899970b73eb3f4ea6f47c7aed9f816 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c14", + "started_at": "2026-05-19T16:05:47.170896+00:00", + "ended_at": "2026-05-19T16:05:55.662754+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c14_fb1b35fbde9a324f", + "problem_id": "v2p_c14_155902ae93f2ce83", + "dataset_id": "c14", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=nom_4, condition_col=nom_4.", + "bindings": { + "group_col": "nom_4", + "condition_col": "nom_4", + "condition_value": "Bassoon", + "positive_value": "Oboe", + "negative_value": "Bassoon", + "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": 9.0, + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_fb1b35fbde9a324f.sql", + "usage_summary": { + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_fb1b35fbde9a324f", + "api_calls": 0, + "input_tokens": 15975, + "cached_input_tokens": 12032, + "output_tokens": 359, + "total_tokens": 16334, + "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": 8328.07, + "sql_execution_elapsed_ms_total": 142.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/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_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d97db9f1cffdb06515a4cef8abf8e36d2faadea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:55.518470+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8328.07, "started_at": "2026-05-19T16:05:47.188963+00:00", "ended_at": "2026-05-19T16:05:55.517063+00:00", "prompt_metrics": {"chars": 11940, "bytes_utf8": 11940, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15975, "cached_input_tokens": 12032, "output_tokens": 359, "reasoning_output_tokens": 246}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"nom_4\\\",\\n AVG(CASE WHEN \\\"nom_4\\\" = 'Bassoon' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c14\\\"\\nGROUP BY \\\"nom_4\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with both group_col and condition_col bound to \\\"nom_4\\\" and condition_value set to 'Bassoon'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9439bfa3e217d417f956ffa692d042ab30e67f94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_fb1b35fbde9a324f", + "api_calls": 0, + "input_tokens": 15975, + "cached_input_tokens": 12032, + "output_tokens": 359, + "total_tokens": 16334, + "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": 8328.07, + "sql_execution_elapsed_ms_total": 142.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fb1b35fbde9a324f/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_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30f1c8c036dbbd179d0e6c3840d3e142d093addc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 12239, "bytes_utf8": 12239, "lines": 396, "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": 574, "bytes_utf8": 574, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16046, "cached_input_tokens": 12032, "output_tokens": 389, "reasoning_output_tokens": 219}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..011e150388edb0d8148deb43dede936ca885ab8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/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": "c14", + "model": "v2-cli:codex", + "run_id": "v2q_c14_fe96836f911fef3f", + "api_calls": 0, + "input_tokens": 16046, + "cached_input_tokens": 12032, + "output_tokens": 389, + "total_tokens": 16435, + "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": 11554.44, + "sql_execution_elapsed_ms_total": 145.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/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_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8a74d4d834d8e4eddfc444381bb54082ac4d0d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/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": "2026-05-19T15:48:25.233224+00:00", + "ended_at": "2026-05-19T15:48:36.787695+00:00", + "elapsed_ms": 11554.44, + "prompt_metrics": { + "chars": 12239, + "bytes_utf8": 12239, + "lines": 396, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 945, + "bytes_utf8": 945, + "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": 574, + "bytes_utf8": 574, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16046, + "cached_input_tokens": 12032, + "output_tokens": 389, + "reasoning_output_tokens": 219 + } + }, + "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_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ed57fbb1afac595a195e8a869f9fbf03c623538 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,396 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=bin_1, measure_col=ord_0.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "bin_1", + "measure_col": "ord_0", + "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": 2.32, + "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_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b808b29f1f1e87143705d812af4fe7cdaa4413d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-8f3d-72c2-9881-582b2d550e42"} +{"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 \\\"bin_1\\\", SUM(CAST(\\\"ord_0\\\" AS REAL)) AS group_value\\n FROM \\\"c14\\\"\\n GROUP BY \\\"bin_1\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"bin_1\\\", 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 planned template with group_col=\\\"bin_1\\\" and measure_col=\\\"ord_0\\\". Cast \\\"ord_0\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16046,"cached_input_tokens":12032,"output_tokens":389,"reasoning_output_tokens":219}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3cf2984d48ddd99f85ed1db47ca104514a3cdc19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"bin_1\", SUM(CAST(\"ord_0\" AS REAL)) AS group_value\n FROM \"c14\"\n GROUP BY \"bin_1\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"bin_1\", 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 planned template with group_col=\"bin_1\" and measure_col=\"ord_0\". Cast \"ord_0\" 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_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_fe96836f911fef3f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7bf3ee654250081b96d1500bd7e1ff6abf424129 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/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": "2026-05-19T16:08:48.638115+00:00", + "ended_at": "2026-05-19T16:08:51.592863+00:00", + "elapsed_ms": 2954.72, + "returncode": 1, + "prompt_metrics": { + "chars": 11684, + "bytes_utf8": 11684, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b98e24e5f2ee6e364f5c923a0c678dbd04d8d42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/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": "2026-05-19T16:08:52.595076+00:00", + "ended_at": "2026-05-19T16:08:56.897149+00:00", + "elapsed_ms": 4302.04, + "returncode": 1, + "prompt_metrics": { + "chars": 11684, + "bytes_utf8": 11684, + "lines": 394, + "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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a672e8ce08f6976815f1eb2d4e595bfc06f69640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=ord_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_2", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a672e8ce08f6976815f1eb2d4e595bfc06f69640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,394 @@ +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: c14 +- dataset_name: Cat In The Dat +- table_name: c14 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 24 feature columns and target `target`. +- task_type: classification +- target_column: target +- main_row_count: 300000 +- important_fields: +- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id. +- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0. +- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1. +- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2. +- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3. +- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4. +- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0. +- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1. +- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2. +- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3. +- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4. +- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5. +- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6. +- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7. +- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8. +- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9. +- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0. +- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1. +- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2. +- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3. +- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4. +- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month. +- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target. +- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']] +- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7'] +- source_url: https://www.kaggle.com/c/cat-in-the-dat + +SQLite schema snapshot: +{ + "table_name": "c14", + "quoted_table_name": "\"c14\"", + "row_count": 300000, + "columns": [ + { + "name": "id", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bin_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "nom_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_0", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ord_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "target", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "id": "0", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Triangle", + "nom_2": "Snake", + "nom_3": "Finland", + "nom_4": "Bassoon", + "nom_5": "50f116bcf", + "nom_6": "3ac1b8814", + "nom_7": "68f6ad3e9", + "nom_8": "c389000ab", + "nom_9": "2f4cb3d51", + "ord_0": "2", + "ord_1": "Grandmaster", + "ord_2": "Cold", + "ord_3": "h", + "ord_4": "D", + "ord_5": "kr", + "day": "2", + "month": "2", + "target": "0" + }, + { + "id": "1", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "T", + "bin_4": "Y", + "nom_0": "Green", + "nom_1": "Trapezoid", + "nom_2": "Hamster", + "nom_3": "Russia", + "nom_4": "Piano", + "nom_5": "b3b4d25d0", + "nom_6": "fbcb50fc1", + "nom_7": "3b6dd5612", + "nom_8": "4cd920251", + "nom_9": "f83c56c21", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Hot", + "ord_3": "a", + "ord_4": "A", + "ord_5": "bF", + "day": "7", + "month": "8", + "target": "0" + }, + { + "id": "2", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Blue", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Russia", + "nom_4": "Theremin", + "nom_5": "3263bdce5", + "nom_6": "0922e3cb8", + "nom_7": "a6a36f527", + "nom_8": "de9c9f684", + "nom_9": "ae6800dd0", + "ord_0": "1", + "ord_1": "Expert", + "ord_2": "Lava Hot", + "ord_3": "h", + "ord_4": "R", + "ord_5": "Jc", + "day": "7", + "month": "2", + "target": "0" + }, + { + "id": "3", + "bin_0": "0", + "bin_1": "1", + "bin_2": "0", + "bin_3": "F", + "bin_4": "Y", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Snake", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "f12246592", + "nom_6": "50d7ad46a", + "nom_7": "ec69236eb", + "nom_8": "4ade6ab69", + "nom_9": "8270f0d71", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Boiling Hot", + "ord_3": "i", + "ord_4": "D", + "ord_5": "kW", + "day": "2", + "month": "1", + "target": "1" + }, + { + "id": "4", + "bin_0": "0", + "bin_1": "0", + "bin_2": "0", + "bin_3": "F", + "bin_4": "N", + "nom_0": "Red", + "nom_1": "Trapezoid", + "nom_2": "Lion", + "nom_3": "Canada", + "nom_4": "Oboe", + "nom_5": "5b0f5acd5", + "nom_6": "1fe17a1fd", + "nom_7": "04ddac2be", + "nom_8": "cb43ab175", + "nom_9": "b164b72a7", + "ord_0": "1", + "ord_1": "Grandmaster", + "ord_2": "Freezing", + "ord_3": "a", + "ord_4": "R", + "ord_5": "qP", + "day": "7", + "month": "8", + "target": "0" + } + ] +} + +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": "c14", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=ord_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "ord_2", + "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": 172611.0, + "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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..633e9a539a120c907b7ee8363b7ddebd9fc70585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-39fe-72e0-970f-4aa774f26a58"} +{"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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a7518a0272f4e56fdcf756d1643a0202d29e4e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-39fe-72e0-970f-4aa774f26a58"} +{"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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..17a7fcc8544d8d08d0edb12a41332e20b9b3f1ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-4961-7772-827e-92dc4d5c95ec"} +{"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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..716e7f5c5f5135f78f3ba8faadf0136fa6736c81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-4961-7772-827e-92dc4d5c95ec"} +{"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_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_febc86dace234a30/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391