diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3da0960f56a12b2674fc53af30c5053ce236b8a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:18:34.934261+00:00", + "ended_at": "2026-05-19T16:18:42.314900+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_03895c4299e6337d", + "problem_id": "v2p_m8_e1113aedb21074fa", + "dataset_id": "m8", + "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": "count_distribution", + "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 count_distribution. Focus on group_col=age, measure_col=pdays.", + "bindings": { + "group_col": "age", + "measure_col": "pdays", + "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": -1.0, + "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": "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=4", + "sql_variant_index=2/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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_f/m8/artifacts/v2q_m8_03895c4299e6337d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd5a80cc4aa644d6936f7ab8353ab68c21328631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:18:38.052050+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": 3111.24, "started_at": "2026-05-19T16:18:34.940008+00:00", "ended_at": "2026-05-19T16:18:38.051290+00:00", "prompt_metrics": {"chars": 9500, "bytes_utf8": 9500, "lines": 300, "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\":\"019e4108-2c5a-7843-8a2d-4db9d214b2a8\"}\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": "2026-05-19T16:18:42.314787+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": 3260.16, "started_at": "2026-05-19T16:18:39.053673+00:00", "ended_at": "2026-05-19T16:18:42.313880+00:00", "prompt_metrics": {"chars": 9500, "bytes_utf8": 9500, "lines": 300, "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\":\"019e4108-3c73-7621-af9a-af7e7bdce4be\"}\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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4c58b40a144738ec4a4cbb27c3d8d0c21a1476b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/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": "2026-05-19T16:17:26.903460+00:00", + "ended_at": "2026-05-19T16:17:29.912892+00:00", + "elapsed_ms": 3009.37, + "returncode": 1, + "prompt_metrics": { + "chars": 9125, + "bytes_utf8": 9125, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a58afac9841619328d3dd37894231823cddb1374 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/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": "2026-05-19T16:17:30.915404+00:00", + "ended_at": "2026-05-19T16:17:34.085139+00:00", + "elapsed_ms": 3169.68, + "returncode": 1, + "prompt_metrics": { + "chars": 9125, + "bytes_utf8": 9125, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77b5fc93cb7124839fa8ce710bc998c3544a5dca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pdays.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..77b5fc93cb7124839fa8ce710bc998c3544a5dca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pdays.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..34f6a12f800f93903519cd6f3f7800c318453e94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-22d4-7272-9efc-85a3ced12d01"} +{"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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e984f3aa26cdf0ee7950c3896fd92cfd45b879a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-22d4-7272-9efc-85a3ced12d01"} +{"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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3271acf04ed3c282c86acee1ec874afeab767467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-3288-7f10-8f8a-149c16df1da2"} +{"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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7615a81b056bef606420272863a6a230ac7b2c3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-3288-7f10-8f8a-149c16df1da2"} +{"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_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03ef404513d6262f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..abb1d25e0fb72b907ca93b260b2df37baa512d04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/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": "2026-05-19T16:14:36.924290+00:00", + "ended_at": "2026-05-19T16:14:40.444475+00:00", + "elapsed_ms": 3520.16, + "returncode": 1, + "prompt_metrics": { + "chars": 9768, + "bytes_utf8": 9768, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1be83c2f5949c00f840d55bcc7143e627649f9de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/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": "2026-05-19T16:14:41.446202+00:00", + "ended_at": "2026-05-19T16:14:44.307204+00:00", + "elapsed_ms": 2860.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9768, + "bytes_utf8": 9768, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..505bcd3500ab8ef1bb27f86bd097084a65731563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=previous, condition_col=default.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "previous", + "condition_col": "default", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..505bcd3500ab8ef1bb27f86bd097084a65731563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=previous, condition_col=default.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "previous", + "condition_col": "default", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2ad58f06926d303aaa25b984a7afda876221b9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-8a71-72e0-a257-ba0cebcabfa1"} +{"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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28b2096cd8fb458531c692f3270a5cf2afb46d04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-8a71-72e0-a257-ba0cebcabfa1"} +{"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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..16fa9beed3e1306c2faca190a6c2e68d41cee92d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-9c14-7661-8fe7-c304b39ea37a"} +{"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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..21641a6ac2b5d89d9236484f63e57ba273d54848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-9c14-7661-8fe7-c304b39ea37a"} +{"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_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_088c9fb9ff5b25c4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f0ed6c0e1ba5d885cd0d398c3479b0aaee45986d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/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": "2026-05-19T16:17:50.523568+00:00", + "ended_at": "2026-05-19T16:17:56.534215+00:00", + "elapsed_ms": 6010.6, + "returncode": 1, + "prompt_metrics": { + "chars": 9516, + "bytes_utf8": 9516, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..af932414ee1101c6f892b67868d2c4daf3697b4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/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": "2026-05-19T16:17:57.537044+00:00", + "ended_at": "2026-05-19T16:18:00.947836+00:00", + "elapsed_ms": 3410.73, + "returncode": 1, + "prompt_metrics": { + "chars": 9516, + "bytes_utf8": 9516, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2b89003b645c58eedf45630c637cc3f299c3d49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=poutcome, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "poutcome", + "measure_col": "duration", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2b89003b645c58eedf45630c637cc3f299c3d49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=poutcome, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "poutcome", + "measure_col": "duration", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..163a43474524f50df62f6118c1a4d6875c7b16d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-7f30-7ba1-9410-f38640adabe7"} +{"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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..418e9496e7d4a1fbd849e21c4520f023eab979c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-7f30-7ba1-9410-f38640adabe7"} +{"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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d163979804be18aa1c8cc4b24ea39a9eeed203f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-9aab-7751-bed8-09a5de93cfbd"} +{"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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f2eb3f8c8e0a99762f89a70c155463c8e605adf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-9aab-7751-bed8-09a5de93cfbd"} +{"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_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_089e3dca82792f37/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..36e429cd2a98bce9c53fa074c938612b1f989520 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/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": "2026-05-19T16:07:56.278156+00:00", + "ended_at": "2026-05-19T16:08:01.079540+00:00", + "elapsed_ms": 4801.36, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..66290d9b30b7a9402a75507f24ff23fc90333ded --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/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": "2026-05-19T16:08:02.081069+00:00", + "ended_at": "2026-05-19T16:08:05.118100+00:00", + "elapsed_ms": 3037.01, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4215c4ca32cca6124f3a7b5d50e382f7f52f14a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=job, measure_col=balance.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "job", + "measure_col": "balance", + "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": 1428.0, + "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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4215c4ca32cca6124f3a7b5d50e382f7f52f14a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=job, measure_col=balance.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "job", + "measure_col": "balance", + "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": 1428.0, + "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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eacf42c1a9621139b1be846321d7d9bcf7d3f54b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6d7a-78d2-af49-4aa9838038f5"} +{"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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ff3f809c4413dc8af59302899363bbba781df6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6d7a-78d2-af49-4aa9838038f5"} +{"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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a3ea08f41fb9072f686b30ae7037c8ddfccb5ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8431-7fe3-8d04-3fe4f853f7d9"} +{"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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dc1d5c38dcf424311184f8ea3c6e37c8ded781a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8431-7fe3-8d04-3fe4f853f7d9"} +{"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_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ad7ca2c7a113f6d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7ba4daec8574a86809f281cd2b9731807b894756 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:12:20.517402+00:00", + "ended_at": "2026-05-19T16:12:28.007460+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_0c4031cf0e95f112", + "problem_id": "v2p_m8_3b2e3ebc4dbcce81", + "dataset_id": "m8", + "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=y, measure_col=balance.", + "bindings": { + "group_col": "y", + "measure_col": "balance", + "item_col": "day", + "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": 1428.0, + "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=6", + "sql_variant_index=1/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c836dfdd3190c43f653e3f23242e7d21be182c20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:23.754560+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": 3232.97, "started_at": "2026-05-19T16:12:20.520459+00:00", "ended_at": "2026-05-19T16:12:23.753458+00:00", "prompt_metrics": {"chars": 9346, "bytes_utf8": 9346, "lines": 302, "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\":\"019e4102-75a9-72d1-9776-6ec7b9785575\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:12:28.007349+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": 3249.95, "started_at": "2026-05-19T16:12:24.756412+00:00", "ended_at": "2026-05-19T16:12:28.006405+00:00", "prompt_metrics": {"chars": 9346, "bytes_utf8": 9346, "lines": 302, "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\":\"019e4102-8637-7111-9252-109afd1e35e9\"}\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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f7e78ed2c2c199c0f7d3e95a3f2ec06af47b1dd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/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": "2026-05-19T16:07:49.054523+00:00", + "ended_at": "2026-05-19T16:07:51.935270+00:00", + "elapsed_ms": 2880.71, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9a9906b149f816df447ee716ab4599347e771427 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/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": "2026-05-19T16:07:52.937200+00:00", + "ended_at": "2026-05-19T16:07:56.273891+00:00", + "elapsed_ms": 3336.66, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..68c1160b8e8ff78774cd600824781619c4528e57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=age, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "age", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..68c1160b8e8ff78774cd600824781619c4528e57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=age, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "age", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6fe4436d0eb96e0966a7decd67c745b53a92602 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-5137-7de1-b246-bd208f503691"} +{"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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b5d39fb1f623a4ec15aa9a043439e57496b4b79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-5137-7de1-b246-bd208f503691"} +{"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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..519a5caa219739dac9e82c37ff6bd55d8dbf3436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6082-7401-9dc2-3cbcdf5847a5"} +{"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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c95b6fb061cbc6f594cecd5e59f8858ef12cd360 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6082-7401-9dc2-3cbcdf5847a5"} +{"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_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0ceb98ace664f54d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..598d9890b1375a094089257aab5b2d54afed3139 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:19:12.138804+00:00", + "ended_at": "2026-05-19T16:19:24.298081+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_0d9ded01382f8312", + "problem_id": "v2p_m8_70814263014a832b", + "dataset_id": "m8", + "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": "count_distribution", + "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 count_distribution. Focus on group_col=education, measure_col=balance.", + "bindings": { + "group_col": "education", + "measure_col": "balance", + "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": 1428.0, + "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": "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=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "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_f/m8/artifacts/v2q_m8_0d9ded01382f8312/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d518bd914af8dcf92126d5e3e5df84c16f2ffc85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:19:18.293581+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": 6149.03, "started_at": "2026-05-19T16:19:12.143701+00:00", "ended_at": "2026-05-19T16:19:18.292765+00:00", "prompt_metrics": {"chars": 9516, "bytes_utf8": 9516, "lines": 300, "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\":\"019e4108-bd9a-7f53-a53e-192471d2ce85\"}\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": "2026-05-19T16:19:24.297912+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": 5001.6, "started_at": "2026-05-19T16:19:19.294676+00:00", "ended_at": "2026-05-19T16:19:24.296320+00:00", "prompt_metrics": {"chars": 9516, "bytes_utf8": 9516, "lines": 300, "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\":\"019e4108-d974-7e33-b3e6-304902391b86\"}\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_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..69948027609df3c2803042e8e1d03cc386f5f3cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:17:19.363081+00:00", + "ended_at": "2026-05-19T16:17:26.898014+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_0e094a2304cadc3c", + "problem_id": "v2p_m8_24fbc41c85492ce8", + "dataset_id": "m8", + "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=campaign.", + "bindings": { + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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", + "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_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..209a0c702eeedeecd5f8bb2d41cb13e2501b3a74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:17:22.736198+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": 3367.64, "started_at": "2026-05-19T16:17:19.367592+00:00", "ended_at": "2026-05-19T16:17:22.735272+00:00", "prompt_metrics": {"chars": 9129, "bytes_utf8": 9129, "lines": 298, "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\":\"019e4107-0562-7e21-8667-ff95d43673c4\"}\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": "2026-05-19T16:17:26.897893+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": 3159.14, "started_at": "2026-05-19T16:17:23.737702+00:00", "ended_at": "2026-05-19T16:17:26.896895+00:00", "prompt_metrics": {"chars": 9129, "bytes_utf8": 9129, "lines": 298, "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\":\"019e4107-169d-76b1-b322-762c822d4d62\"}\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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..85881d2df45d0db0788df40d8d5d080f2cd94944 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/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": "2026-05-19T16:13:28.940820+00:00", + "ended_at": "2026-05-19T16:13:32.298310+00:00", + "elapsed_ms": 3357.46, + "returncode": 1, + "prompt_metrics": { + "chars": 9368, + "bytes_utf8": 9368, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd18096c13460097b03e773644838c0058e26be7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/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": "2026-05-19T16:13:33.300122+00:00", + "ended_at": "2026-05-19T16:13:36.024543+00:00", + "elapsed_ms": 2724.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9368, + "bytes_utf8": 9368, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a13cdceb8fb61374be190dfb8469bdfa4e30e83f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=education, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "education", + "measure_col": "pdays", + "item_col": "previous", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a13cdceb8fb61374be190dfb8469bdfa4e30e83f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=education, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "education", + "measure_col": "pdays", + "item_col": "previous", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc78db2ce1ca2a43a9011a8de0f09bd197e88806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-80f2-70b2-811f-8c26a8f2ba50"} +{"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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dea21add4b0e3310cf1313ac30a1a73931840cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-80f2-70b2-811f-8c26a8f2ba50"} +{"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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c3d711879c2345f73290f884bb4c9193e796de3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-91e8-7983-a9fa-04b3ffd9f70c"} +{"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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e0e721dc1a2ff7179d9d5e1f18af89a69c603bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-91e8-7983-a9fa-04b3ffd9f70c"} +{"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_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0f86f26c170a56f0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fbe26ef819838d44b1dc8fc2fcf8a78303f7a8fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:11:16.888138+00:00", + "ended_at": "2026-05-19T16:11:24.178425+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_11321e5fdef072fa", + "problem_id": "v2p_m8_2f9274960b132c8b", + "dataset_id": "m8", + "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=campaign, measure_col=campaign.", + "bindings": { + "group_col": "campaign", + "measure_col": "campaign", + "item_col": "pdays", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=2", + "sql_variant_index=1/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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", + "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_f/m8/artifacts/v2q_m8_11321e5fdef072fa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68ee452842a55bf9eb6077610c8af16136b4d5e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:20.138860+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": 3246.78, "started_at": "2026-05-19T16:11:16.891320+00:00", "ended_at": "2026-05-19T16:11:20.138131+00:00", "prompt_metrics": {"chars": 9361, "bytes_utf8": 9361, "lines": 302, "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\":\"019e4101-7d27-7e22-91ff-8360fdf95262\"}\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": "2026-05-19T16:11:24.178329+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": 3037.66, "started_at": "2026-05-19T16:11:21.139886+00:00", "ended_at": "2026-05-19T16:11:24.177587+00:00", "prompt_metrics": {"chars": 9361, "bytes_utf8": 9361, "lines": 302, "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\":\"019e4101-8db0-7070-acd8-14afdec57706\"}\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_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b7989f7e08c4d1c475b774e49aab1085030efefb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:28:08.599311+00:00", + "ended_at": "2026-05-19T16:28:23.152287+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_13c9e9fe9e077e2d", + "problem_id": "v2p_m8_fc1928d7cdf3d3e5", + "dataset_id": "m8", + "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": "rare_extreme_view", + "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 rare_extreme_view. Focus on group_col=job.", + "bindings": { + "group_col": "job", + "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": 21.0, + "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=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "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_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea7bc918771bf9ba3abbeb8ba1b3728fda236c23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:28:12.025272+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": 3419.21, "started_at": "2026-05-19T16:28:08.604240+00:00", "ended_at": "2026-05-19T16:28:12.023489+00:00", "prompt_metrics": {"chars": 8941, "bytes_utf8": 8941, "lines": 298, "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\":\"019e4110-edb2-70a1-901c-2d0612dba4fa\"}\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": "2026-05-19T16:28:23.152130+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": 10122.75, "started_at": "2026-05-19T16:28:13.027165+00:00", "ended_at": "2026-05-19T16:28:23.149980+00:00", "prompt_metrics": {"chars": 8941, "bytes_utf8": 8941, "lines": 298, "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\":\"019e4110-fecc-7ae2-98ae-3e494e43d020\"}\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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d7a8c1b0399e7ae0e8809992fe131405e0a44f4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/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": "2026-05-19T16:18:42.319150+00:00", + "ended_at": "2026-05-19T16:18:45.680976+00:00", + "elapsed_ms": 3361.79, + "returncode": 1, + "prompt_metrics": { + "chars": 9503, + "bytes_utf8": 9503, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..141d05ed6c458c23abc54379670d6ae8e3362c39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/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": "2026-05-19T16:18:46.683657+00:00", + "ended_at": "2026-05-19T16:18:49.847567+00:00", + "elapsed_ms": 3163.88, + "returncode": 1, + "prompt_metrics": { + "chars": 9503, + "bytes_utf8": 9503, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..449a1f4d51abdf55d7f90cff579060e770f25c7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=job, measure_col=previous.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "job", + "measure_col": "previous", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, 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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..449a1f4d51abdf55d7f90cff579060e770f25c7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=job, measure_col=previous.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "job", + "measure_col": "previous", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, 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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e05bc54d0c9a395f4e82c2ae254fd45595974bfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-4927-75c2-bc68-c63a4e84ed0b"} +{"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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9811922365b1c16124af70fca872bcd5c92134b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-4927-75c2-bc68-c63a4e84ed0b"} +{"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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..444863261e9159b5768765ad47bfbf0a157d9f9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-5a12-7580-80a4-bc9485e80635"} +{"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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3552af8618e88c475793170edd52d8b7e449f26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-5a12-7580-80a4-bc9485e80635"} +{"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_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13ff96b4611c721c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e166fd22b3e36158dcb5c09424c308700adddf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "married", "support": 27214, "support_share": 0.6019331578598128, "cumulative_support": 27214}, {"value_label": "single", "support": 12790, "support_share": 0.2828957554577426, "cumulative_support": 40004}, {"value_label": "divorced", "support": 5207, "support_share": 0.11517108668244454, "cumulative_support": 45211}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..83cc546b8375a985dfbf710272bc1239f7486961 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_1426fde6a3787f23 +-- problem_id: v2p_m8_d81b539c2ed29a2e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "marital" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "marital" +), 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_f/m8/artifacts/v2q_m8_1426fde6a3787f23/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d384fca215a3213ed10e1e58e0106de0d3eeef6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/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_f\n-- sql_source_dataset_id: m8\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_m8_1426fde6a3787f23\n-- problem_id: v2p_m8_d81b539c2ed29a2e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"marital\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"marital\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_1426fde6a3787f23\\n-- problem_id: v2p_m8_d81b539c2ed29a2e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"marital\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"marital\\\"\\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\": \"married\", \"support\": 27214, \"support_share\": 0.6019331578598128, \"cumulative_support\": 27214}, {\"value_label\": \"single\", \"support\": 12790, \"support_share\": 0.2828957554577426, \"cumulative_support\": 40004}, {\"value_label\": \"divorced\", \"support\": 5207, \"support_share\": 0.11517108668244454, \"cumulative_support\": 45211}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 16.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fb3628c65c2720117d87450c2d8c7862cb80a2eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.632801+00:00", + "ended_at": "2026-05-19T16:32:31.650128+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_1426fde6a3787f23", + "problem_id": "v2p_m8_d81b539c2ed29a2e", + "dataset_id": "m8", + "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=marital.", + "bindings": { + "group_col": "marital" + }, + "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=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_f/m8/sql/v2q_m8_1426fde6a3787f23.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_f/m8/artifacts/v2q_m8_1426fde6a3787f23/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1426fde6a3787f23/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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..101f9fde743cf95f53ae3e4bc744397124965990 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/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": "2026-05-19T16:21:27.506514+00:00", + "ended_at": "2026-05-19T16:21:34.513261+00:00", + "elapsed_ms": 7006.72, + "returncode": 1, + "prompt_metrics": { + "chars": 9142, + "bytes_utf8": 9142, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3abe0303dbfd8bf1aa3d1b123e56f52af6447f03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/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": "2026-05-19T16:21:35.515193+00:00", + "ended_at": "2026-05-19T16:21:43.097391+00:00", + "elapsed_ms": 7582.16, + "returncode": 1, + "prompt_metrics": { + "chars": 9142, + "bytes_utf8": 9142, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66db3e6a54fa6e8b88052d00c0c55e483c1bfddf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=previous, measure_col=duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "previous", + "measure_col": "duration", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66db3e6a54fa6e8b88052d00c0c55e483c1bfddf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=previous, measure_col=duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "previous", + "measure_col": "duration", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..77a33c696897d604899963ce558c5c556a7117d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-ce5f-7221-ba82-fba206a53880"} +{"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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c08c9f97396b74bf1e5d51783e387e54a9764f8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-ce5f-7221-ba82-fba206a53880"} +{"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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5adcaad8de794c5cff972b1721aefd7ea622f29f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-edb4-77b2-9e19-f1ab467a1b9b"} +{"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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..680fa221504dea918ededa51d0b8b1b442f19de8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-edb4-77b2-9e19-f1ab467a1b9b"} +{"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_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_14fd2af01ece7919/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1820cd1e6039d8241faa73be5db59de66c23bd63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/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": "2026-05-19T16:22:50.527346+00:00", + "ended_at": "2026-05-19T16:22:54.149390+00:00", + "elapsed_ms": 3622.0, + "returncode": 1, + "prompt_metrics": { + "chars": 9117, + "bytes_utf8": 9117, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed3c81b903c0656512053a05fc271524d14b6e60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/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": "2026-05-19T16:22:55.152903+00:00", + "ended_at": "2026-05-19T16:23:02.886698+00:00", + "elapsed_ms": 7733.72, + "returncode": 1, + "prompt_metrics": { + "chars": 9117, + "bytes_utf8": 9117, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..806ee470e12a017aa0d8f0965866ec2011973773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=job, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "job", + "measure_col": "age", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..806ee470e12a017aa0d8f0965866ec2011973773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=job, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "job", + "measure_col": "age", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1007b5a87a0a12f4d17521f9339b529b1e45c1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-1309-7b20-8960-d5ce3d7a68d2"} +{"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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10470778bdf537f17505b2878df09212caf02910 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-1309-7b20-8960-d5ce3d7a68d2"} +{"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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..daf2ddeba9498179d6e1bca512f03e5b098c11a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-251e-7d93-9d5e-2e147ca7b4c7"} +{"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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..811bb27e2ee7a1cf3820b24decc130d21dce3a64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-251e-7d93-9d5e-2e147ca7b4c7"} +{"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_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_154bb05b986e9020/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d99ed7f1cda6193e5b0212a0cb29736d94a0502 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:19:31.194221+00:00", + "ended_at": "2026-05-19T16:19:38.957388+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_1772df822c2801a5", + "problem_id": "v2p_m8_7269692d86f3efe8", + "dataset_id": "m8", + "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=default, measure_col=day.", + "bindings": { + "group_col": "default", + "measure_col": "day", + "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": 21.0, + "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": "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=8", + "sql_variant_index=1/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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_f/m8/artifacts/v2q_m8_1772df822c2801a5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2cbd0d5f64a71d6c96846fc75272b69a9e7af9fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:19:34.461871+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": 3263.76, "started_at": "2026-05-19T16:19:31.197170+00:00", "ended_at": "2026-05-19T16:19:34.460958+00:00", "prompt_metrics": {"chars": 9503, "bytes_utf8": 9503, "lines": 300, "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\":\"019e4109-0816-7af1-b103-a651a7b1b09c\"}\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": "2026-05-19T16:19:38.957304+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": 3493.18, "started_at": "2026-05-19T16:19:35.463312+00:00", "ended_at": "2026-05-19T16:19:38.956544+00:00", "prompt_metrics": {"chars": 9503, "bytes_utf8": 9503, "lines": 300, "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\":\"019e4109-18c4-7b21-b9f1-c3573961ec0b\"}\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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4d494c0da57fa55eb91e100d985014fb2dbf83d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/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": "2026-05-19T16:20:34.978878+00:00", + "ended_at": "2026-05-19T16:20:42.329573+00:00", + "elapsed_ms": 7350.67, + "returncode": 1, + "prompt_metrics": { + "chars": 9123, + "bytes_utf8": 9123, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..022b4f0c9098b7e83a5bd5688c3e7f6c67d91ef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/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": "2026-05-19T16:20:43.331618+00:00", + "ended_at": "2026-05-19T16:20:48.370034+00:00", + "elapsed_ms": 5038.38, + "returncode": 1, + "prompt_metrics": { + "chars": 9123, + "bytes_utf8": 9123, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..614970a0bdd49a19a7e11c920a85dbf887541e79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=month, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "month", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..614970a0bdd49a19a7e11c920a85dbf887541e79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=month, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "month", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fff18357f34555b1f881c490a95944a9c06faa99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-011f-7fc0-a2e2-6d7c8f915976"} +{"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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87e7ded3640603afbc043968f619baea4894f783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-011f-7fc0-a2e2-6d7c8f915976"} +{"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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aef244977d4b8ca589e78b9594fe3fbd49e1a543 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-21e4-7402-beb5-d853f98d1d34"} +{"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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..18765a39eb1282ef0ba27be55cb30338c61aeb83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-21e4-7402-beb5-d853f98d1d34"} +{"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_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_17e698ada40f604b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..60355cbd9bce8ac312657e2a7a073da39b82e8c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 17544, "support_share": 0.3880471566654133, "cumulative_support": 17544}, {"value_label": "2", "support": 12505, "support_share": 0.276591979827918, "cumulative_support": 30049}, {"value_label": "3", "support": 5521, "support_share": 0.12211629913074251, "cumulative_support": 35570}, {"value_label": "4", "support": 3522, "support_share": 0.07790139567804295, "cumulative_support": 39092}, {"value_label": "5", "support": 1764, "support_share": 0.039017053371967, "cumulative_support": 40856}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6c0f15b4686d9c04d4cb9fe89a7b3e81fcc2e241 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_192b63394c7d1298 +-- problem_id: v2p_m8_ef9a7098f1b099af +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "campaign" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "campaign" +), 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_f/m8/artifacts/v2q_m8_192b63394c7d1298/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..533d8ee91cddfb877b3df427601b00f73ff65c21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/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_f\n-- sql_source_dataset_id: m8\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_m8_192b63394c7d1298\n-- problem_id: v2p_m8_ef9a7098f1b099af\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"campaign\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"campaign\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_192b63394c7d1298\\n-- problem_id: v2p_m8_ef9a7098f1b099af\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"campaign\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"campaign\\\"\\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\": \"1\", \"support\": 17544, \"support_share\": 0.3880471566654133, \"cumulative_support\": 17544}, {\"value_label\": \"2\", \"support\": 12505, \"support_share\": 0.276591979827918, \"cumulative_support\": 30049}, {\"value_label\": \"3\", \"support\": 5521, \"support_share\": 0.12211629913074251, \"cumulative_support\": 35570}, {\"value_label\": \"4\", \"support\": 3522, \"support_share\": 0.07790139567804295, \"cumulative_support\": 39092}, {\"value_label\": \"5\", \"support\": 1764, \"support_share\": 0.039017053371967, \"cumulative_support\": 40856}, {\"value_label\": \"6\", \"support\": 1291, \"support_share\": 0.028554997677556346, \"cumulative_support\": 42147}, {\"value_label\": \"7\", \"support\": 735, \"support_share\": 0.016257105571652917, \"cumulative_support\": 42882}, {\"value_label\": \"8\", \"support\": 540, \"support_share\": 0.01194399593019398, \"cumulative_support\": 43422}, {\"value_label\": \"9\", \"support\": 327, \"support_share\": 0.0072327530910619095, \"cumulative_support\": 43749}, {\"value_label\": \"10\", \"support\": 266, \"support_share\": 0.005883523921169627, \"cumulative_support\": 44015}, {\"value_label\": \"11\", \"support\": 201, \"support_share\": 0.004445820707349981, \"cumulative_support\": 44216}, {\"value_label\": \"12\", \"support\": 155, \"support_share\": 0.003428369202185309, \"cumulative_support\": 44371}, {\"value_label\": \"13\", \"support\": 133, \"support_share\": 0.0029417619605848133, \"cumulative_support\": 44504}, {\"value_label\": \"14\", \"support\": 93, \"support_share\": 0.002057021521311185, \"cumulative_support\": 44597}, {\"value_label\": \"15\", \"support\": 84, \"support_share\": 0.001857954922474619, \"cumulative_support\": 44681}, {\"value_label\": \"16\", \"support\": 79, \"support_share\": 0.0017473623675654155, \"cumulative_support\": 44760}, {\"value_label\": \"17\", \"support\": 69, \"support_share\": 0.0015261772577470085, \"cumulative_support\": 44829}, {\"value_label\": \"18\", \"support\": 51, \"support_share\": 0.001128044060073876, \"cumulative_support\": 44880}, {\"value_label\": \"19\", \"support\": 44, \"support_share\": 0.000973214483200991, \"cumulative_support\": 44924}, {\"value_label\": \"20\", \"support\": 43, \"support_share\": 0.0009510959722191502, \"cumulative_support\": 44967}, {\"value_label\": \"21\", \"support\": 35, \"support_share\": 0.0007741478843644246, \"cumulative_support\": 45002}, {\"value_label\": \"22\", \"support\": 23, \"support_share\": 0.0005087257525823362, \"cumulative_support\": 45025}, {\"value_label\": \"23\", \"support\": 22, \"support_share\": 0.0004866072416004955, \"cumulative_support\": 45047}, {\"value_label\": \"25\", \"support\": 22, \"support_share\": 0.0004866072416004955, \"cumulative_support\": 45069}, {\"value_label\": \"24\", \"support\": 20, \"support_share\": 0.00044237021963681403, \"cumulative_support\": 45089}, {\"value_label\": \"28\", \"support\": 16, \"support_share\": 0.00035389617570945125, \"cumulative_support\": 45105}, {\"value_label\": \"29\", \"support\": 16, \"support_share\": 0.00035389617570945125, \"cumulative_support\": 45121}, {\"value_label\": \"26\", \"support\": 13, \"support_share\": 0.00028754064276392913, \"cumulative_support\": 45134}, {\"value_label\": \"31\", \"support\": 12, \"support_share\": 0.0002654221317820884, \"cumulative_support\": 45146}, {\"value_label\": \"27\", \"support\": 10, \"support_share\": 0.00022118510981840702, \"cumulative_support\": 45156}, {\"value_label\": \"32\", \"support\": 9, \"support_share\": 0.00019906659883656632, \"cumulative_support\": 45165}, {\"value_label\": \"30\", \"support\": 8, \"support_share\": 0.00017694808785472562, \"cumulative_support\": 45173}, {\"value_label\": \"33\", \"support\": 6, \"support_share\": 0.0001327110658910442, \"cumulative_support\": 45179}, {\"value_label\": \"34\", \"support\": 5, \"support_share\": 0.00011059255490920351, \"cumulative_support\": 45184}, {\"value_label\": \"35\", \"support\": 4, \"support_share\": 8.847404392736281e-05, \"cumulative_support\": 45188}, {\"value_label\": \"36\", \"support\": 4, \"support_share\": 8.847404392736281e-05, \"cumulative_support\": 45192}, {\"value_label\": \"38\", \"support\": 3, \"support_share\": 6.63555329455221e-05, \"cumulative_support\": 45195}, {\"value_label\": \"43\", \"support\": 3, \"support_share\": 6.63555329455221e-05, \"cumulative_support\": 45198}, {\"value_label\": \"37\", \"support\": 2, \"support_share\": 4.4237021963681406e-05, \"cumulative_support\": 45200}, {\"value_label\": \"41\", \"support\": 2, \"support_share\": 4.4237021963681406e-05, \"cumulative_support\": 45202}, {\"value_label\": \"50\", \"support\": 2, \"support_share\": 4.4237021963681406e-05, \"cumulative_support\": 45204}, {\"value_label\": \"39\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45205}, {\"value_label\": \"44\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45206}, {\"value_label\": \"46\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45207}, {\"value_label\": \"51\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45208}, {\"value_label\": \"55\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45209}, {\"value_label\": \"58\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45210}, {\"value_label\": \"63\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45211}], \"row_count_returned\": 48, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..46213832d81ce0e1e421fc7f57e1ccb1da21a40e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.736115+00:00", + "ended_at": "2026-05-19T16:32:31.754517+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_192b63394c7d1298", + "problem_id": "v2p_m8_ef9a7098f1b099af", + "dataset_id": "m8", + "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=campaign.", + "bindings": { + "group_col": "campaign" + }, + "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=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "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_f/m8/sql/v2q_m8_192b63394c7d1298.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_f/m8/artifacts/v2q_m8_192b63394c7d1298/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_192b63394c7d1298/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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4741dd731b6b98a8440541fc67a2fbe60b039f8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/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": "2026-05-19T16:31:09.192356+00:00", + "ended_at": "2026-05-19T16:31:12.440322+00:00", + "elapsed_ms": 3247.93, + "returncode": 1, + "prompt_metrics": { + "chars": 9037, + "bytes_utf8": 9037, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b11967b2b7177bc85447cbeae3bf1fe0628318cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/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": "2026-05-19T16:31:13.443141+00:00", + "ended_at": "2026-05-19T16:31:17.270903+00:00", + "elapsed_ms": 3827.69, + "returncode": 1, + "prompt_metrics": { + "chars": 9037, + "bytes_utf8": 9037, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4050bd4c998af2ee1fe3669b4d0b45921fab54d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=job, measure_col=duration.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "job", + "measure_col": "duration", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4050bd4c998af2ee1fe3669b4d0b45921fab54d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=job, measure_col=duration.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "job", + "measure_col": "duration", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e8e3ffc958ad8c658ce9c67d474832ad5483f65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-af1f-7a53-b12a-0f00782cab7d"} +{"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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3930a7c144895a6ee830ef5778f8f0e780295caa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-af1f-7a53-b12a-0f00782cab7d"} +{"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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6cdc9fd51c4a66a113d1088a28337c2cf1e3c0af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-bf9a-7553-9802-a300be90d942"} +{"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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..399431806fb03f8b37ef0897b606d350a2f6c731 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-bf9a-7553-9802-a300be90d942"} +{"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_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_19a3d8b4d97f349b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f70c447021626d638ba3f7bd3dd0f7b71422ff92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:23:10.615670+00:00", + "ended_at": "2026-05-19T16:23:23.091664+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_1a895a04aca80346", + "problem_id": "v2p_m8_244fd6f9b3566d0a", + "dataset_id": "m8", + "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=marital, measure_col=balance.", + "bindings": { + "group_col": "marital", + "measure_col": "balance", + "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": 1428.0, + "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=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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", + "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_f/m8/artifacts/v2q_m8_1a895a04aca80346/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8de77f1830e5f6baa419b8879eb9db5277c8def --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:23:14.140240+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": 3518.33, "started_at": "2026-05-19T16:23:10.620844+00:00", "ended_at": "2026-05-19T16:23:14.139213+00:00", "prompt_metrics": {"chars": 9137, "bytes_utf8": 9137, "lines": 300, "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\":\"019e410c-61b0-78c0-9264-b0fa24b1d00c\"}\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": "2026-05-19T16:23:23.091543+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": 7948.62, "started_at": "2026-05-19T16:23:15.141742+00:00", "ended_at": "2026-05-19T16:23:23.090421+00:00", "prompt_metrics": {"chars": 9137, "bytes_utf8": 9137, "lines": 300, "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\":\"019e410c-7347-7073-ba7f-2380bd2e8dcf\"}\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_f/m8/artifacts/v2q_m8_1ace35bdde954131/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8a1b85cffff26fab5ae8798fadba68a2eca3cd39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:23:40.810643+00:00", + "ended_at": "2026-05-19T16:23:56.600584+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_1ace35bdde954131", + "problem_id": "v2p_m8_8a7a460414852758", + "dataset_id": "m8", + "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=education, measure_col=day.", + "bindings": { + "group_col": "education", + "measure_col": "day", + "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": 20.0, + "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=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", + "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_f/m8/artifacts/v2q_m8_1ace35bdde954131/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8eec815801cea997b697d43848100562fe722ccc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:23:44.281520+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": 3464.24, "started_at": "2026-05-19T16:23:40.816237+00:00", "ended_at": "2026-05-19T16:23:44.280527+00:00", "prompt_metrics": {"chars": 9133, "bytes_utf8": 9133, "lines": 300, "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\":\"019e410c-d782-7bc1-baf5-79f5ae570818\"}\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": "2026-05-19T16:23:56.600468+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": 11316.64, "started_at": "2026-05-19T16:23:45.282695+00:00", "ended_at": "2026-05-19T16:23:56.599381+00:00", "prompt_metrics": {"chars": 9133, "bytes_utf8": 9133, "lines": 300, "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\":\"019e410c-e900-7ba3-b3d9-81180c3a6a83\"}\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_f/m8/artifacts/v2q_m8_1daf75010e14310a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..27b2475bb78e5b761e461e39e3150b90ab2ab18c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:30:44.565108+00:00", + "ended_at": "2026-05-19T16:30:53.036547+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_1daf75010e14310a", + "problem_id": "v2p_m8_1541cfe8f1ffbe6e", + "dataset_id": "m8", + "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=y, measure_col=balance.", + "bindings": { + "group_col": "y", + "measure_col": "balance", + "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": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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_f/m8/artifacts/v2q_m8_1daf75010e14310a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcb2436c57df622ee6b1fa8a12960df0e5259495 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:30:48.439515+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": 3867.49, "started_at": "2026-05-19T16:30:44.570965+00:00", "ended_at": "2026-05-19T16:30:48.438499+00:00", "prompt_metrics": {"chars": 9030, "bytes_utf8": 9030, "lines": 300, "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\":\"019e4113-4efc-7a90-8c9b-80c82d7f8726\"}\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": "2026-05-19T16:30:53.036442+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": 3594.64, "started_at": "2026-05-19T16:30:49.440771+00:00", "ended_at": "2026-05-19T16:30:53.035467+00:00", "prompt_metrics": {"chars": 9030, "bytes_utf8": 9030, "lines": 300, "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\":\"019e4113-61dc-71a2-ba55-598e777f99e0\"}\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_f/m8/artifacts/v2q_m8_1f04db2e8300b993/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e154c67f9486874ff426b34e61e0c2e0bf44d971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/run_manifest.json @@ -0,0 +1,73 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:15:58.707871+00:00", + "ended_at": "2026-05-19T16:16:07.940772+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_1f04db2e8300b993", + "problem_id": "v2p_m8_73f376ac4a131743", + "dataset_id": "m8", + "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=default, group_col_2=campaign.", + "bindings": { + "group_col": "default", + "group_col_2": "campaign", + "predicate_col": "default", + "predicate_op": "=", + "predicate_value": "yes", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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", + "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_f/m8/artifacts/v2q_m8_1f04db2e8300b993/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa4c09c1e8a17f1d360a9c4a54c82bae18bbba90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:16:03.741433+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": 5029.6, "started_at": "2026-05-19T16:15:58.711041+00:00", "ended_at": "2026-05-19T16:16:03.740671+00:00", "prompt_metrics": {"chars": 9266, "bytes_utf8": 9266, "lines": 304, "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\":\"019e4105-c9fa-7ec3-bc00-a7c523034c50\"}\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": "2026-05-19T16:16:07.940672+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": 3196.7, "started_at": "2026-05-19T16:16:04.742975+00:00", "ended_at": "2026-05-19T16:16:07.939753+00:00", "prompt_metrics": {"chars": 9266, "bytes_utf8": 9266, "lines": 304, "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\":\"019e4105-e26a-7772-89e0-6d2737d723a0\"}\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_f/m8/artifacts/v2q_m8_1fbe48544015df21/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ff770e5418ecdf8de79a9bda9b199fcb07cc472a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:16:54.867821+00:00", + "ended_at": "2026-05-19T16:17:02.926410+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_1fbe48544015df21", + "problem_id": "v2p_m8_98f1626b21edaf63", + "dataset_id": "m8", + "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=balance.", + "bindings": { + "measure_col": "balance", + "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": 1428.0, + "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", + "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_f/m8/artifacts/v2q_m8_1fbe48544015df21/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa8653055eaa11a276120f884ed12ad4f94589e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:16:58.157704+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": 3284.3, "started_at": "2026-05-19T16:16:54.872246+00:00", "ended_at": "2026-05-19T16:16:58.156588+00:00", "prompt_metrics": {"chars": 9131, "bytes_utf8": 9131, "lines": 298, "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\":\"019e4106-a5cf-7381-9100-348370465a18\"}\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": "2026-05-19T16:17:02.926290+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": 3765.36, "started_at": "2026-05-19T16:16:59.159729+00:00", "ended_at": "2026-05-19T16:17:02.925162+00:00", "prompt_metrics": {"chars": 9131, "bytes_utf8": 9131, "lines": 298, "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\":\"019e4106-b69f-7e51-91f5-77b327161dde\"}\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_f/m8/artifacts/v2q_m8_20351341a5bd447d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ef62b5ede17302717a94bc185d4b7961ddeb9d00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/run_manifest.json @@ -0,0 +1,73 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:15:26.900458+00:00", + "ended_at": "2026-05-19T16:15:34.062193+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_20351341a5bd447d", + "problem_id": "v2p_m8_41cb4efac308a4e2", + "dataset_id": "m8", + "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=default, group_col_2=loan.", + "bindings": { + "group_col": "default", + "group_col_2": "loan", + "predicate_col": "age", + "predicate_op": ">=", + "predicate_value": 48.0, + "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": 21.0, + "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=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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", + "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_f/m8/artifacts/v2q_m8_20351341a5bd447d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9cbc075a34f8a8434639b611819dbf429dcc7d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:30.054201+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": 3150.03, "started_at": "2026-05-19T16:15:26.903299+00:00", "ended_at": "2026-05-19T16:15:30.053355+00:00", "prompt_metrics": {"chars": 9255, "bytes_utf8": 9255, "lines": 304, "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\":\"019e4105-4ddc-7ae0-8f82-79f4dd46483b\"}\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": "2026-05-19T16:15:34.062092+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": 3004.73, "started_at": "2026-05-19T16:15:31.056542+00:00", "ended_at": "2026-05-19T16:15:34.061319+00:00", "prompt_metrics": {"chars": 9255, "bytes_utf8": 9255, "lines": 304, "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\":\"019e4105-5df3-71d2-97e6-822284063494\"}\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_f/m8/artifacts/v2q_m8_23d11585a04cd38a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7fd7ecc2f800a43242430ca4c063b4671a18dc82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:09:44.610042+00:00", + "ended_at": "2026-05-19T16:09:51.676640+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_23d11585a04cd38a", + "problem_id": "v2p_m8_95a67209206743ea", + "dataset_id": "m8", + "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=contact, measure_col=age.", + "bindings": { + "group_col": "contact", + "measure_col": "age", + "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": 45.0, + "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=8", + "sql_variant_index=2/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_f/m8/artifacts/v2q_m8_23d11585a04cd38a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..537521797f2644383eefe944234b915a94a5d0dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:47.409643+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": 2795.77, "started_at": "2026-05-19T16:09:44.613151+00:00", "ended_at": "2026-05-19T16:09:47.408944+00:00", "prompt_metrics": {"chars": 8950, "bytes_utf8": 8950, "lines": 300, "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\":\"019e4100-14bc-7623-9725-3aa5f1210280\"}\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": "2026-05-19T16:09:51.676560+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": 3265.38, "started_at": "2026-05-19T16:09:48.410515+00:00", "ended_at": "2026-05-19T16:09:51.675920+00:00", "prompt_metrics": {"chars": 8950, "bytes_utf8": 8950, "lines": 300, "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\":\"019e4100-237f-7d13-a6df-25d24ff88828\"}\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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be2fa24b1ac6864ec4db1247947d18478706bdb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/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": "2026-05-19T16:19:54.006553+00:00", + "ended_at": "2026-05-19T16:19:59.351149+00:00", + "elapsed_ms": 5344.57, + "returncode": 1, + "prompt_metrics": { + "chars": 9516, + "bytes_utf8": 9516, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..71c15d4fa1d5caa0b42f12ae701d388930582f50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/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": "2026-05-19T16:20:00.352714+00:00", + "ended_at": "2026-05-19T16:20:04.459785+00:00", + "elapsed_ms": 4107.04, + "returncode": 1, + "prompt_metrics": { + "chars": 9516, + "bytes_utf8": 9516, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ed35a1ecd1972f70f82148c9dc6dd212a73b7c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=housing, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "housing", + "measure_col": "duration", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ed35a1ecd1972f70f82148c9dc6dd212a73b7c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=housing, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "housing", + "measure_col": "duration", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab7dfbdc42a43415202f883602d3882ecee5ea4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-6118-7aa0-b152-24b2e01e0ff9"} +{"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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8db2552c703adb1a7db338bbe276278c67f3ff7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-6118-7aa0-b152-24b2e01e0ff9"} +{"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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..47ceb2f079f7f6706554f8098e91ba5f1f658d09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-79ea-7010-b153-a13d411a14b8"} +{"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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb7e2b9437481e39a7cae9c6416ad737606fd84a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-79ea-7010-b153-a13d411a14b8"} +{"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_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b3e655d3a17c0b9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4892f3fe1de3f2751e55238727e2513253bf5d82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"balance": "0", "support": 3514, "avg_response": 16.32185543540125}, {"balance": "1", "support": 195, "avg_response": 15.507692307692308}, {"balance": "2", "support": 156, "avg_response": 15.474358974358974}, {"balance": "4", "support": 139, "avg_response": 15.827338129496402}, {"balance": "3", "support": 134, "avg_response": 15.23134328358209}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..17543753cf6415ffe08b5cc09c524ae030f8ebad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_2b4ba2b5db24472f +-- problem_id: v2p_m8_a1a594f2e125d385 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "balance", + COUNT(*) AS support, + AVG("day") AS avg_response +FROM "m8" +GROUP BY "balance" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4232b2c5e05474023a7bd30653180921fe878abf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/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_f\n-- sql_source_dataset_id: m8\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_m8_2b4ba2b5db24472f\n-- problem_id: v2p_m8_a1a594f2e125d385\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"balance\",\n COUNT(*) AS support,\n AVG(\"day\") AS avg_response\nFROM \"m8\"\nGROUP BY \"balance\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_2b4ba2b5db24472f\\n-- problem_id: v2p_m8_a1a594f2e125d385\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"balance\\\",\\n COUNT(*) AS support,\\n AVG(\\\"day\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"balance\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"balance\", \"support\", 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14.714285714285714}, {\"balance\": \"20\", \"support\": 62, \"avg_response\": 15.0}, {\"balance\": \"19\", \"support\": 60, \"avg_response\": 15.616666666666667}, {\"balance\": \"49\", \"support\": 59, \"avg_response\": 16.83050847457627}, {\"balance\": \"15\", \"support\": 59, \"avg_response\": 16.1864406779661}, {\"balance\": \"21\", \"support\": 59, \"avg_response\": 15.711864406779661}, {\"balance\": \"47\", \"support\": 59, \"avg_response\": 15.033898305084746}, {\"balance\": \"33\", \"support\": 58, \"avg_response\": 16.896551724137932}, {\"balance\": \"13\", \"support\": 57, \"avg_response\": 15.070175438596491}, {\"balance\": \"16\", \"support\": 56, \"avg_response\": 15.803571428571429}, {\"balance\": \"53\", \"support\": 56, \"avg_response\": 15.303571428571429}, {\"balance\": \"24\", \"support\": 55, \"avg_response\": 16.945454545454545}, {\"balance\": \"79\", \"support\": 55, \"avg_response\": 15.945454545454545}, {\"balance\": \"9\", \"support\": 54, \"avg_response\": 16.555555555555557}, {\"balance\": \"91\", \"support\": 54, \"avg_response\": 15.981481481481481}, {\"balance\": \"145\", \"support\": 54, \"avg_response\": 14.75925925925926}, {\"balance\": \"46\", \"support\": 54, \"avg_response\": 14.092592592592593}, {\"balance\": \"18\", \"support\": 53, \"avg_response\": 17.69811320754717}, {\"balance\": \"14\", \"support\": 53, \"avg_response\": 16.18867924528302}, {\"balance\": \"94\", \"support\": 52, \"avg_response\": 16.903846153846153}, {\"balance\": \"12\", \"support\": 52, \"avg_response\": 16.865384615384617}, {\"balance\": \"31\", \"support\": 52, \"avg_response\": 16.192307692307693}, {\"balance\": \"96\", \"support\": 52, \"avg_response\": 16.057692307692307}, {\"balance\": \"61\", \"support\": 52, \"avg_response\": 15.423076923076923}, {\"balance\": \"99\", \"support\": 51, \"avg_response\": 16.666666666666668}, {\"balance\": \"17\", \"support\": 51, \"avg_response\": 15.96078431372549}, {\"balance\": \"223\", \"support\": 51, \"avg_response\": 14.431372549019608}, {\"balance\": \"36\", \"support\": 50, \"avg_response\": 17.84}, {\"balance\": \"35\", \"support\": 50, \"avg_response\": 17.26}, {\"balance\": \"-1\", \"support\": 50, \"avg_response\": 16.46}, {\"balance\": \"105\", \"support\": 50, \"avg_response\": 16.32}, {\"balance\": \"26\", \"support\": 50, \"avg_response\": 15.64}, {\"balance\": \"43\", \"support\": 50, \"avg_response\": 15.38}, {\"balance\": \"28\", \"support\": 50, \"avg_response\": 15.16}, {\"balance\": \"66\", \"support\": 49, \"avg_response\": 13.959183673469388}, {\"balance\": \"71\", \"support\": 48, \"avg_response\": 16.270833333333332}, {\"balance\": \"50\", \"support\": 48, \"avg_response\": 16.020833333333332}, {\"balance\": \"54\", \"support\": 48, \"avg_response\": 15.895833333333334}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 30.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..46724f7f9fe72102e05f7db276870928794eeaf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.064719+00:00", + "ended_at": "2026-05-19T16:32:32.096231+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_2b4ba2b5db24472f", + "problem_id": "v2p_m8_a1a594f2e125d385", + "dataset_id": "m8", + "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=balance.", + "bindings": { + "key_col": "balance", + "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_f/m8/sql/v2q_m8_2b4ba2b5db24472f.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_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b4ba2b5db24472f/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_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..641aeac648703c46ca361ebda30088d45894704e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"pdays": "-1", "support": 36954, "avg_response": 16.145424040699247}, {"pdays": "182", "support": 167, "avg_response": 15.95808383233533}, {"pdays": "92", "support": 147, "avg_response": 13.625850340136054}, {"pdays": "183", "support": 126, "avg_response": 16.896825396825395}, {"pdays": "91", "support": 126, "avg_response": 14.047619047619047}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..de0f95acecb0088a979ce3077cfad54e001cf0f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_2b667c8cb81195e0 +-- problem_id: v2p_m8_f9d9af7968e024e9 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pdays", + COUNT(*) AS support, + AVG("day") AS avg_response +FROM "m8" +GROUP BY "pdays" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0b46555c1b608fedbe0e296af14b8dcc057cc928 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/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_f\n-- sql_source_dataset_id: m8\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_m8_2b667c8cb81195e0\n-- problem_id: v2p_m8_f9d9af7968e024e9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"pdays\",\n COUNT(*) AS support,\n AVG(\"day\") AS avg_response\nFROM \"m8\"\nGROUP BY \"pdays\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_2b667c8cb81195e0\\n-- problem_id: v2p_m8_f9d9af7968e024e9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"pdays\\\",\\n COUNT(*) AS support,\\n AVG(\\\"day\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"pdays\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"pdays\", \"support\", \"avg_response\"], \"rows\": [{\"pdays\": \"-1\", \"support\": 36954, \"avg_response\": 16.145424040699247}, {\"pdays\": \"182\", \"support\": 167, \"avg_response\": 15.95808383233533}, {\"pdays\": \"92\", \"support\": 147, \"avg_response\": 13.625850340136054}, {\"pdays\": \"183\", \"support\": 126, \"avg_response\": 16.896825396825395}, {\"pdays\": \"91\", \"support\": 126, \"avg_response\": 14.047619047619047}, {\"pdays\": \"181\", \"support\": 117, \"avg_response\": 15.2991452991453}, {\"pdays\": \"370\", \"support\": 99, \"avg_response\": 13.11111111111111}, {\"pdays\": \"184\", \"support\": 85, \"avg_response\": 18.11764705882353}, {\"pdays\": \"364\", \"support\": 77, \"avg_response\": 13.03896103896104}, {\"pdays\": \"95\", \"support\": 74, \"avg_response\": 14.432432432432432}, {\"pdays\": \"350\", \"support\": 73, \"avg_response\": 13.150684931506849}, {\"pdays\": \"94\", \"support\": 72, \"avg_response\": 14.930555555555555}, {\"pdays\": \"175\", \"support\": 71, \"avg_response\": 14.633802816901408}, {\"pdays\": \"185\", \"support\": 68, \"avg_response\": 17.220588235294116}, {\"pdays\": \"93\", \"support\": 65, \"avg_response\": 14.138461538461538}, {\"pdays\": \"343\", \"support\": 65, \"avg_response\": 12.507692307692308}, {\"pdays\": \"188\", \"support\": 64, \"avg_response\": 15.921875}, {\"pdays\": \"189\", \"support\": 60, \"avg_response\": 16.816666666666666}, {\"pdays\": \"186\", \"support\": 60, \"avg_response\": 16.0}, {\"pdays\": \"174\", \"support\": 57, \"avg_response\": 14.666666666666666}, {\"pdays\": \"349\", \"support\": 57, \"avg_response\": 13.035087719298245}, {\"pdays\": \"96\", \"support\": 57, \"avg_response\": 11.771929824561404}, {\"pdays\": \"363\", \"support\": 55, \"avg_response\": 10.981818181818182}, {\"pdays\": \"97\", \"support\": 54, \"avg_response\": 16.425925925925927}, {\"pdays\": \"90\", \"support\": 54, \"avg_response\": 13.74074074074074}, {\"pdays\": \"196\", \"support\": 51, \"avg_response\": 15.019607843137255}, {\"pdays\": \"365\", \"support\": 51, \"avg_response\": 11.588235294117647}, {\"pdays\": \"98\", \"support\": 49, \"avg_response\": 14.653061224489797}, {\"pdays\": \"368\", \"support\": 49, \"avg_response\": 12.46938775510204}, {\"pdays\": \"357\", \"support\": 49, \"avg_response\": 11.244897959183673}, {\"pdays\": \"342\", \"support\": 49, \"avg_response\": 11.081632653061224}, {\"pdays\": \"345\", \"support\": 48, \"avg_response\": 12.395833333333334}, {\"pdays\": \"351\", \"support\": 48, \"avg_response\": 10.458333333333334}, {\"pdays\": \"178\", \"support\": 47, \"avg_response\": 16.5531914893617}, {\"pdays\": \"367\", \"support\": 47, \"avg_response\": 11.957446808510639}, {\"pdays\": \"347\", \"support\": 47, \"avg_response\": 11.702127659574469}, {\"pdays\": \"190\", \"support\": 46, \"avg_response\": 15.652173913043478}, {\"pdays\": \"195\", \"support\": 45, \"avg_response\": 16.333333333333332}, {\"pdays\": \"104\", \"support\": 45, \"avg_response\": 14.422222222222222}, {\"pdays\": \"180\", \"support\": 45, \"avg_response\": 13.755555555555556}, {\"pdays\": \"99\", \"support\": 45, \"avg_response\": 12.177777777777777}, {\"pdays\": \"356\", \"support\": 45, \"avg_response\": 12.022222222222222}, {\"pdays\": \"172\", \"support\": 44, \"avg_response\": 14.068181818181818}, {\"pdays\": \"371\", \"support\": 44, \"avg_response\": 13.545454545454545}, {\"pdays\": \"344\", \"support\": 44, \"avg_response\": 11.795454545454545}, {\"pdays\": \"150\", \"support\": 43, \"avg_response\": 17.837209302325583}, {\"pdays\": \"87\", \"support\": 43, \"avg_response\": 17.13953488372093}, {\"pdays\": \"179\", \"support\": 43, \"avg_response\": 15.604651162790697}, {\"pdays\": \"187\", \"support\": 43, \"avg_response\": 14.093023255813954}, {\"pdays\": \"170\", \"support\": 43, \"avg_response\": 12.627906976744185}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 18.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc3099220fbe384632deaefa1b438d7eac204dfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.229734+00:00", + "ended_at": "2026-05-19T16:32:32.249309+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_2b667c8cb81195e0", + "problem_id": "v2p_m8_f9d9af7968e024e9", + "dataset_id": "m8", + "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=pdays.", + "bindings": { + "key_col": "pdays", + "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=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_f/m8/sql/v2q_m8_2b667c8cb81195e0.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_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2b667c8cb81195e0/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_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2c4df895f6bbcdc3824fdffae0dd617ebc625793 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:29:48.021300+00:00", + "ended_at": "2026-05-19T16:29:55.609108+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_2daa45dee2d10f01", + "problem_id": "v2p_m8_a98e210101755147", + "dataset_id": "m8", + "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=contact.", + "bindings": { + "group_col": "contact", + "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": 1428.0, + "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_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8e3dfc15bc4662c76e92631d8f3e36657f2bed54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:29:51.023561+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": 2996.68, "started_at": "2026-05-19T16:29:48.025815+00:00", "ended_at": "2026-05-19T16:29:51.022540+00:00", "prompt_metrics": {"chars": 8949, "bytes_utf8": 8949, "lines": 298, "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\":\"019e4112-71d5-7f51-9d3f-fb568c422646\"}\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": "2026-05-19T16:29:55.608981+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": 3582.49, "started_at": "2026-05-19T16:29:52.025300+00:00", "ended_at": "2026-05-19T16:29:55.607862+00:00", "prompt_metrics": {"chars": 8949, "bytes_utf8": 8949, "lines": 298, "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\":\"019e4112-8192-7400-a8bb-bd0a314930ed\"}\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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82c1e18478f6cc4ca80c29a6fa5868f8010a0c0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/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": "2026-05-19T16:15:34.065722+00:00", + "ended_at": "2026-05-19T16:15:37.077945+00:00", + "elapsed_ms": 3012.19, + "returncode": 1, + "prompt_metrics": { + "chars": 9268, + "bytes_utf8": 9268, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a4f1db55e97ed624b3e09722836958802cb59ad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/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": "2026-05-19T16:15:38.079549+00:00", + "ended_at": "2026-05-19T16:15:41.209192+00:00", + "elapsed_ms": 3129.6, + "returncode": 1, + "prompt_metrics": { + "chars": 9268, + "bytes_utf8": 9268, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9824a163dc0842c63d3d1f5c05a845b4784dd4db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=default, group_col_2=contact.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "default", + "group_col_2": "contact", + "predicate_col": "job", + "predicate_op": "=", + "predicate_value": "services", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9824a163dc0842c63d3d1f5c05a845b4784dd4db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=default, group_col_2=contact.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "default", + "group_col_2": "contact", + "predicate_col": "job", + "predicate_op": "=", + "predicate_value": "services", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ee4f36ee134d553dca7126c0c99bcc17ebbe1ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-69ad-75e2-b104-c92fd6285075"} +{"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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..df78b43410ec1ed9c715cf3722c44dedb764d530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-69ad-75e2-b104-c92fd6285075"} +{"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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..41bdbdeda59f1bc6e246e894be6bfde0fe828d6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-7968-7851-a306-3cb6f4a43dec"} +{"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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b5c7cca6d2f5c772016c6785e686f4f32ccacc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-7968-7851-a306-3cb6f4a43dec"} +{"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_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_30490f6cf3b04aa4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3cd2dfa73e5d1ce85ed8ca2299b4e5eb96c543b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"previous": "0", "support": 36954, "avg_response": 16.145424040699247}, {"previous": "1", "support": 2772, "avg_response": 14.405122655122655}, {"previous": "2", "support": 2106, "avg_response": 14.23741690408357}, {"previous": "3", "support": 1142, "avg_response": 14.399299474605954}, {"previous": "4", "support": 714, "avg_response": 14.210084033613445}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8cd0007498003548a2e21270cbccd291e4a44824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_312c7884390f76cb +-- problem_id: v2p_m8_cdba24b56dd52b03 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "previous", + COUNT(*) AS support, + AVG("day") AS avg_response +FROM "m8" +GROUP BY "previous" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..101d617a27cc0d42e31a81f30ae63a3b08d5c7f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/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_f\n-- sql_source_dataset_id: m8\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_m8_312c7884390f76cb\n-- problem_id: v2p_m8_cdba24b56dd52b03\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"previous\",\n COUNT(*) AS support,\n AVG(\"day\") AS avg_response\nFROM \"m8\"\nGROUP BY \"previous\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_312c7884390f76cb\\n-- problem_id: v2p_m8_cdba24b56dd52b03\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"previous\\\",\\n COUNT(*) AS support,\\n AVG(\\\"day\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"previous\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"previous\", \"support\", \"avg_response\"], \"rows\": [{\"previous\": \"0\", \"support\": 36954, \"avg_response\": 16.145424040699247}, {\"previous\": \"1\", \"support\": 2772, \"avg_response\": 14.405122655122655}, {\"previous\": \"2\", \"support\": 2106, \"avg_response\": 14.23741690408357}, {\"previous\": \"3\", \"support\": 1142, \"avg_response\": 14.399299474605954}, {\"previous\": \"4\", \"support\": 714, \"avg_response\": 14.210084033613445}, {\"previous\": \"5\", \"support\": 459, \"avg_response\": 14.087145969498911}, {\"previous\": \"6\", \"support\": 277, \"avg_response\": 14.212996389891696}, {\"previous\": \"7\", \"support\": 205, \"avg_response\": 14.08780487804878}, {\"previous\": \"8\", \"support\": 129, \"avg_response\": 14.395348837209303}, {\"previous\": \"9\", \"support\": 92, \"avg_response\": 13.923913043478262}, {\"previous\": \"10\", \"support\": 67, \"avg_response\": 14.701492537313433}, {\"previous\": \"11\", \"support\": 65, \"avg_response\": 13.692307692307692}, {\"previous\": \"12\", \"support\": 44, \"avg_response\": 13.227272727272727}, {\"previous\": \"13\", \"support\": 38, \"avg_response\": 14.842105263157896}, {\"previous\": \"15\", \"support\": 20, \"avg_response\": 11.6}, {\"previous\": \"14\", \"support\": 19, \"avg_response\": 12.631578947368421}, {\"previous\": \"17\", \"support\": 15, \"avg_response\": 15.933333333333334}, {\"previous\": \"16\", \"support\": 13, \"avg_response\": 14.923076923076923}, {\"previous\": \"19\", \"support\": 11, \"avg_response\": 14.636363636363637}, {\"previous\": \"20\", \"support\": 8, \"avg_response\": 11.25}, {\"previous\": \"23\", \"support\": 8, \"avg_response\": 9.625}, {\"previous\": \"18\", \"support\": 6, \"avg_response\": 16.333333333333332}, {\"previous\": \"22\", \"support\": 6, \"avg_response\": 12.666666666666666}, {\"previous\": \"24\", \"support\": 5, \"avg_response\": 15.6}, {\"previous\": \"27\", \"support\": 5, \"avg_response\": 15.0}], \"row_count_returned\": 25, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..119065fc2c836baa86a2a6af8c8fbb94ad380138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.269082+00:00", + "ended_at": "2026-05-19T16:32:32.287831+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_312c7884390f76cb", + "problem_id": "v2p_m8_cdba24b56dd52b03", + "dataset_id": "m8", + "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=previous.", + "bindings": { + "key_col": "previous", + "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=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_f/m8/sql/v2q_m8_312c7884390f76cb.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_f/m8/artifacts/v2q_m8_312c7884390f76cb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_312c7884390f76cb/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_f/m8/artifacts/v2q_m8_34acabb03f941cc8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c16637ff50d662a84f0f95b945285bae1bdb4b2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "32", "support": 2085, "support_share": 0.04611709539713787, "support_rank": 1}, {"value_label": "31", "support": 1996, "support_share": 0.04414854791975404, "support_rank": 2}, {"value_label": "33", "support": 1972, "support_share": 0.04361770365618987, "support_rank": 3}, {"value_label": "34", "support": 1930, "support_share": 0.04268872619495256, "support_rank": 4}, {"value_label": "35", "support": 1894, "support_share": 0.04189245979960629, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0c60094d2457749728ff123da4a046e777bbb279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_34acabb03f941cc8 +-- problem_id: v2p_m8_cb6bba780a868b96 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "age" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "age" +) +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_f/m8/artifacts/v2q_m8_34acabb03f941cc8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9738d45bde034f8b07839215534d71b4eedd912 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/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_f\n-- sql_source_dataset_id: m8\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_m8_34acabb03f941cc8\n-- problem_id: v2p_m8_cb6bba780a868b96\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"age\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"age\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_34acabb03f941cc8\\n-- problem_id: v2p_m8_cb6bba780a868b96\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"age\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"age\\\"\\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\": \"32\", \"support\": 2085, \"support_share\": 0.04611709539713787, \"support_rank\": 1}, {\"value_label\": \"31\", \"support\": 1996, \"support_share\": 0.04414854791975404, \"support_rank\": 2}, {\"value_label\": \"33\", \"support\": 1972, \"support_share\": 0.04361770365618987, \"support_rank\": 3}, {\"value_label\": \"34\", \"support\": 1930, \"support_share\": 0.04268872619495256, \"support_rank\": 4}, {\"value_label\": \"35\", \"support\": 1894, \"support_share\": 0.04189245979960629, \"support_rank\": 5}, {\"value_label\": \"36\", \"support\": 1806, \"support_share\": 0.03994603083320431, \"support_rank\": 6}, {\"value_label\": \"30\", \"support\": 1757, \"support_share\": 0.03886222379509412, \"support_rank\": 7}, {\"value_label\": \"37\", \"support\": 1696, \"support_share\": 0.03751299462520183, \"support_rank\": 8}, {\"value_label\": \"39\", \"support\": 1487, \"support_share\": 0.03289022582999712, \"support_rank\": 9}, {\"value_label\": \"38\", \"support\": 1466, \"support_share\": 0.03242573709937847, \"support_rank\": 10}, {\"value_label\": \"40\", \"support\": 1355, \"support_share\": 0.029970582380394153, \"support_rank\": 11}, {\"value_label\": \"41\", \"support\": 1291, \"support_share\": 0.028554997677556346, \"support_rank\": 12}, {\"value_label\": \"42\", \"support\": 1242, \"support_share\": 0.027471190639446152, \"support_rank\": 13}, {\"value_label\": \"45\", \"support\": 1216, \"support_share\": 0.026896109353918295, \"support_rank\": 14}, {\"value_label\": \"29\", \"support\": 1185, \"support_share\": 0.026210435513481234, \"support_rank\": 15}, {\"value_label\": \"46\", \"support\": 1175, \"support_share\": 0.025989250403662824, \"support_rank\": 16}, {\"value_label\": \"43\", \"support\": 1161, \"support_share\": 0.025679591249917054, \"support_rank\": 17}, {\"value_label\": \"44\", \"support\": 1136, \"support_share\": 0.02512662847537104, \"support_rank\": 18}, {\"value_label\": \"47\", \"support\": 1088, \"support_share\": 0.024064939948242683, \"support_rank\": 19}, {\"value_label\": \"28\", \"support\": 1038, \"support_share\": 0.02295901439915065, \"support_rank\": 20}, {\"value_label\": \"48\", \"support\": 997, \"support_share\": 0.022052155448895182, \"support_rank\": 21}, {\"value_label\": \"49\", \"support\": 994, \"support_share\": 0.021985799915949657, \"support_rank\": 22}, {\"value_label\": \"50\", \"support\": 939, \"support_share\": 0.02076928181194842, \"support_rank\": 23}, {\"value_label\": \"51\", \"support\": 936, \"support_share\": 0.020702926279002897, \"support_rank\": 24}, {\"value_label\": \"52\", \"support\": 911, \"support_share\": 0.02014996350445688, \"support_rank\": 25}, {\"value_label\": \"27\", \"support\": 909, \"support_share\": 0.0201057264824932, \"support_rank\": 26}, {\"value_label\": \"53\", \"support\": 891, \"support_share\": 0.019707593284820066, \"support_rank\": 27}, {\"value_label\": \"57\", \"support\": 828, \"support_share\": 0.0183141270929641, \"support_rank\": 28}, {\"value_label\": \"54\", \"support\": 811, \"support_share\": 0.01793811240627281, \"support_rank\": 29}, {\"value_label\": \"55\", \"support\": 806, \"support_share\": 0.017827519851363605, \"support_rank\": 30}, {\"value_label\": \"26\", \"support\": 805, \"support_share\": 0.017805401340381766, \"support_rank\": 31}, {\"value_label\": \"56\", \"support\": 778, \"support_share\": 0.017208201543872065, \"support_rank\": 32}, {\"value_label\": \"59\", \"support\": 770, \"support_share\": 0.01703125345601734, \"support_rank\": 33}, {\"value_label\": \"58\", \"support\": 740, \"support_share\": 0.01636769812656212, \"support_rank\": 34}, {\"value_label\": \"60\", \"support\": 596, \"support_share\": 0.01318263254517706, \"support_rank\": 35}, {\"value_label\": \"25\", \"support\": 527, \"support_share\": 0.01165645528743005, \"support_rank\": 36}, {\"value_label\": \"24\", \"support\": 302, \"support_share\": 0.006679790316515892, \"support_rank\": 37}, {\"value_label\": \"23\", \"support\": 202, \"support_share\": 0.004467939218331822, \"support_rank\": 38}, {\"value_label\": \"61\", \"support\": 147, \"support_share\": 0.003251421114330583, \"support_rank\": 39}, {\"value_label\": \"22\", \"support\": 129, \"support_share\": 0.002853287916657451, \"support_rank\": 40}, {\"value_label\": \"62\", \"support\": 80, \"support_share\": 0.0017694808785472561, \"support_rank\": 41}, {\"value_label\": \"21\", \"support\": 79, \"support_share\": 0.0017473623675654155, \"support_rank\": 42}, {\"value_label\": \"63\", \"support\": 77, \"support_share\": 0.001703125345601734, \"support_rank\": 43}, {\"value_label\": \"64\", \"support\": 74, \"support_share\": 0.001636769812656212, \"support_rank\": 44}, {\"value_label\": \"70\", \"support\": 67, \"support_share\": 0.001481940235783327, \"support_rank\": 45}, {\"value_label\": \"66\", \"support\": 63, \"support_share\": 0.0013934661918559642, \"support_rank\": 46}, {\"value_label\": \"65\", \"support\": 59, \"support_share\": 0.0013049921479286015, \"support_rank\": 47}, {\"value_label\": \"67\", \"support\": 54, \"support_share\": 0.001194399593019398, \"support_rank\": 48}, {\"value_label\": \"71\", \"support\": 54, \"support_share\": 0.001194399593019398, \"support_rank\": 49}, {\"value_label\": \"72\", \"support\": 52, \"support_share\": 0.0011501625710557165, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 19.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4df68978592efbbc333bae4e1b54b007441cada9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.804816+00:00", + "ended_at": "2026-05-19T16:32:31.825315+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_34acabb03f941cc8", + "problem_id": "v2p_m8_cb6bba780a868b96", + "dataset_id": "m8", + "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=age.", + "bindings": { + "group_col": "age" + }, + "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=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_f/m8/sql/v2q_m8_34acabb03f941cc8.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_f/m8/artifacts/v2q_m8_34acabb03f941cc8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_34acabb03f941cc8/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_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7678d5143d6f2120391accb575c24c5d2585cfea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/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": "2026-05-19T16:14:29.659830+00:00", + "ended_at": "2026-05-19T16:14:32.556175+00:00", + "elapsed_ms": 2896.32, + "returncode": 1, + "prompt_metrics": { + "chars": 9783, + "bytes_utf8": 9783, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..190e6858f54d88890c5fb6d3caf345de424eb3b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pdays, condition_col=education.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "pdays", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..190e6858f54d88890c5fb6d3caf345de424eb3b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pdays, condition_col=education.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "pdays", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a02766ee0b1bb7d7fcd140dc25cd7630d4a3fbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-6e2c-7f62-9247-c050b230071f"} +{"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_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ca4904a8a77363e403c32b2df09013992b4f3e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-6e2c-7f62-9247-c050b230071f"} +{"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_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcd3e7f0e3b9ba9c09b2c8a4cd971fa2ccb928ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-7d4e-7790-9ca9-0db8af30f77d"} +{"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_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1626c9b6d56e50e50d79f425e963e034895ad9de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/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": "2026-05-19T16:14:44.312525+00:00", + "ended_at": "2026-05-19T16:14:48.369112+00:00", + "elapsed_ms": 4056.56, + "returncode": 1, + "prompt_metrics": { + "chars": 9770, + "bytes_utf8": 9770, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2207cdff45d02c2c7bae4cfc233d63d20a318669 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/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": "2026-05-19T16:14:49.371387+00:00", + "ended_at": "2026-05-19T16:14:52.605836+00:00", + "elapsed_ms": 3234.4, + "returncode": 1, + "prompt_metrics": { + "chars": 9770, + "bytes_utf8": 9770, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4476fcd6d7d0323f762dab45a6f91ad1f6c2de17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=poutcome, condition_col=housing.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "poutcome", + "condition_col": "housing", + "condition_value": "yes", + "positive_value": "yes", + "negative_value": "no", + "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": 1428.0, + "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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4476fcd6d7d0323f762dab45a6f91ad1f6c2de17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=poutcome, condition_col=housing.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "poutcome", + "condition_col": "housing", + "condition_value": "yes", + "positive_value": "yes", + "negative_value": "no", + "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": 1428.0, + "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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf233820dd33612f1acafe960c0fdb5991cacec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-a751-7f03-90ef-655673182eb7"} +{"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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22ba2e1f0de9083174377bcba2b0fdfd590e9dcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-a751-7f03-90ef-655673182eb7"} +{"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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ec75e366bcce5193b545756d697c625152b1e99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-bb45-7c41-86ae-f37241908475"} +{"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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a68a56fb75e5d805f01d42c11af929d3e9949ec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-bb45-7c41-86ae-f37241908475"} +{"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_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_389c6d4e01bbf613/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a813819592d92f241d95b609dde15354538918b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/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": "2026-05-19T16:19:38.960443+00:00", + "ended_at": "2026-05-19T16:19:41.819924+00:00", + "elapsed_ms": 2859.46, + "returncode": 1, + "prompt_metrics": { + "chars": 9504, + "bytes_utf8": 9504, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..59ef233c1e73d45ced82c749b7f1dc16a0f2b680 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/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": "2026-05-19T16:19:42.822076+00:00", + "ended_at": "2026-05-19T16:19:46.129441+00:00", + "elapsed_ms": 3307.32, + "returncode": 1, + "prompt_metrics": { + "chars": 9504, + "bytes_utf8": 9504, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fa857b7556b36d8dadca2cd6e6b632c5f88c340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=default, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "default", + "measure_col": "day", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fa857b7556b36d8dadca2cd6e6b632c5f88c340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=default, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "default", + "measure_col": "day", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4078e87c1421ee39bd3b9325f247820f2de9777 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-2673-7291-9545-a2a86bac0ead"} +{"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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6de0b562cd1adbb8845fda045d952b68dd797a03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-2673-7291-9545-a2a86bac0ead"} +{"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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb45ce9785221273df7ecb27fa39d6d229f2ecd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-3575-79f0-9f17-d01879a7d9c6"} +{"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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..48f6cfd685543e2fc7fff256c92ae70d7d1af290 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-3575-79f0-9f17-d01879a7d9c6"} +{"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_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_38decbe35d7d4e73/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e2eec13681f7d73e836fa53a76de5f27734dde08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/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": "2026-05-19T16:09:11.633562+00:00", + "ended_at": "2026-05-19T16:09:14.476634+00:00", + "elapsed_ms": 2843.05, + "returncode": 1, + "prompt_metrics": { + "chars": 8954, + "bytes_utf8": 8954, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7affe252a14fc7823345518e2d2440369d5e58e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/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": "2026-05-19T16:09:15.478791+00:00", + "ended_at": "2026-05-19T16:09:18.783915+00:00", + "elapsed_ms": 3305.08, + "returncode": 1, + "prompt_metrics": { + "chars": 8954, + "bytes_utf8": 8954, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bb6fa23ce5c5b066a3299e59c41e929f9492234 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=housing, measure_col=pdays.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "housing", + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bb6fa23ce5c5b066a3299e59c41e929f9492234 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=housing, measure_col=pdays.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "housing", + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3814fbaa95d2c8a41663a12b2862297e6dcb53c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-93ea-7ee0-9b45-569eedb5b091"} +{"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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7215887c54738d915c72e5730662b66b88e3d655 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-93ea-7ee0-9b45-569eedb5b091"} +{"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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30f6413a314b077dd52489a5a9d3bd2c7005c586 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-a2cb-7d72-b8fc-80a1be397243"} +{"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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..122fab1fb855cd809f9dd462d033f8174406b584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-a2cb-7d72-b8fc-80a1be397243"} +{"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_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_39b54d12f00e1376/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..efee795b2dbf0d4da4e80db27fb0a6e9f4269dd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/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": "2026-05-19T16:31:01.895493+00:00", + "ended_at": "2026-05-19T16:31:05.012810+00:00", + "elapsed_ms": 3117.27, + "returncode": 1, + "prompt_metrics": { + "chars": 9026, + "bytes_utf8": 9026, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..44f81c709eb32e46fca2d22dfa1a2096a487e6ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/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": "2026-05-19T16:31:06.014947+00:00", + "ended_at": "2026-05-19T16:31:09.186091+00:00", + "elapsed_ms": 3171.0, + "returncode": 1, + "prompt_metrics": { + "chars": 9026, + "bytes_utf8": 9026, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1674ee71ba38ac16f353ee3e720f92a24e35480f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=age, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "age", + "measure_col": "day", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1674ee71ba38ac16f353ee3e720f92a24e35480f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=age, measure_col=day.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "age", + "measure_col": "day", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2836a26240ebe4fe886ca2ab35ae0b794f72209 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-9265-70d3-a0af-85454bce3027"} +{"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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..daf4dcbb4ed78b69255fd9c5410f3c9c8e7b5afe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-9265-70d3-a0af-85454bce3027"} +{"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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d0a0a5d4ddb80b7b76df44923dc9008a261badf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-a298-77e3-a72a-9e4a65af3e4c"} +{"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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0d7b907861209e868a9b99d6d1dccb18460c3a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-a298-77e3-a72a-9e4a65af3e4c"} +{"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_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3ca391bc7eafd581/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a24a1ac7cbcfe02f45405b6a0be2c2aa9ca3bc25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:31:41.240102+00:00", + "ended_at": "2026-05-19T16:31:50.213737+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_3cfa0aae4f67f0fc", + "problem_id": "v2p_m8_f8d8217aba11d2f2", + "dataset_id": "m8", + "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=education, measure_col=pdays.", + "bindings": { + "group_col": "education", + "measure_col": "pdays", + "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": -1.0, + "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=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "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_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..16e83057281b4da03bdbb2f827d7d01b4d996bbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:31:45.954941+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": 4708.34, "started_at": "2026-05-19T16:31:41.245260+00:00", "ended_at": "2026-05-19T16:31:45.953648+00:00", "prompt_metrics": {"chars": 9042, "bytes_utf8": 9042, "lines": 300, "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\":\"019e4114-2c0d-7542-a7fb-b86c7b56ef78\"}\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": "2026-05-19T16:31:50.213569+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": 3255.21, "started_at": "2026-05-19T16:31:46.956848+00:00", "ended_at": "2026-05-19T16:31:50.212132+00:00", "prompt_metrics": {"chars": 9042, "bytes_utf8": 9042, "lines": 300, "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\":\"019e4114-4287-7432-a15d-854d54c9ccf7\"}\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_f/m8/artifacts/v2q_m8_431632763cbad250/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3217f44114b00caf2e8c055179881a377fe0b770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:09:04.239573+00:00", + "ended_at": "2026-05-19T16:09:11.630328+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_431632763cbad250", + "problem_id": "v2p_m8_02dcbede9ca9320c", + "dataset_id": "m8", + "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=housing, measure_col=pdays.", + "bindings": { + "group_col": "housing", + "measure_col": "pdays", + "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": -1.0, + "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=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", + "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_f/m8/artifacts/v2q_m8_431632763cbad250/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..686c821d64c8bdc82b337a056d43a4b10e0bd15d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:07.051323+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": 2807.82, "started_at": "2026-05-19T16:09:04.242627+00:00", "ended_at": "2026-05-19T16:09:07.050475+00:00", "prompt_metrics": {"chars": 8951, "bytes_utf8": 8951, "lines": 300, "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\":\"019e40ff-76ea-7853-93fb-f13886c4b3bf\"}\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": "2026-05-19T16:09:11.630239+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": 3577.07, "started_at": "2026-05-19T16:09:08.052395+00:00", "ended_at": "2026-05-19T16:09:11.629492+00:00", "prompt_metrics": {"chars": 8951, "bytes_utf8": 8951, "lines": 300, "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\":\"019e40ff-85c8-73d2-816a-68326e00de16\"}\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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..880ee6cc9ad21e379cacb5ff87765be3217a8fda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/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": "2026-05-19T16:11:09.642026+00:00", + "ended_at": "2026-05-19T16:11:12.689986+00:00", + "elapsed_ms": 3047.94, + "returncode": 1, + "prompt_metrics": { + "chars": 9362, + "bytes_utf8": 9362, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ab0e212464c0ecba6bb9bc3e7ea39b29c6f16845 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/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": "2026-05-19T16:11:13.691583+00:00", + "ended_at": "2026-05-19T16:11:16.886480+00:00", + "elapsed_ms": 3194.87, + "returncode": 1, + "prompt_metrics": { + "chars": 9362, + "bytes_utf8": 9362, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d65966a52cf9516c493747f01c6f3181f19a044e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "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=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "month", + "measure_col": "duration", + "item_col": "campaign", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d65966a52cf9516c493747f01c6f3181f19a044e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "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=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "month", + "measure_col": "duration", + "item_col": "campaign", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbe56ee591388d135c34fd7db20835dd6ee6c8a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-60d6-7863-b158-eeeb83c98997"} +{"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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0353bf95975090acbc3b77fed3b7399be4ac9ae5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-60d6-7863-b158-eeeb83c98997"} +{"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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac41ec059783be0c74177218f16a005426aa1f52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-70af-7d63-85c2-f98c4fd1656d"} +{"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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..de5790aa43f196f9d3b61c7dcf442f08c70c64cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-70af-7d63-85c2-f98c4fd1656d"} +{"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_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4728babd3affdf77/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5c20c2e7ee9f77f4429ef1397acd271aa0953432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:28:47.626201+00:00", + "ended_at": "2026-05-19T16:28:55.987496+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_47625eca68424d84", + "problem_id": "v2p_m8_603e9831b236cc01", + "dataset_id": "m8", + "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": "rare_extreme_view", + "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 rare_extreme_view. Focus on group_col=education.", + "bindings": { + "group_col": "education", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_f/m8/artifacts/v2q_m8_47625eca68424d84/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d824fd2ccc592c59e501c3ee3d4bed6fa84b73f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:28:51.237742+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": 3605.36, "started_at": "2026-05-19T16:28:47.631330+00:00", "ended_at": "2026-05-19T16:28:51.236739+00:00", "prompt_metrics": {"chars": 8952, "bytes_utf8": 8952, "lines": 298, "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\":\"019e4111-861e-7781-8e27-36a8ca77e61b\"}\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": "2026-05-19T16:28:55.987376+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": 3746.68, "started_at": "2026-05-19T16:28:52.239610+00:00", "ended_at": "2026-05-19T16:28:55.986363+00:00", "prompt_metrics": {"chars": 8952, "bytes_utf8": 8952, "lines": 298, "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\":\"019e4111-9839-7581-bc72-de6169efafff\"}\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_f/m8/artifacts/v2q_m8_47b15bab72111c6d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..01f93cb2aafe4ff6af1d9770fcacc435bad2e9c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:27:59.992935+00:00", + "ended_at": "2026-05-19T16:28:08.598815+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_47b15bab72111c6d", + "problem_id": "v2p_m8_3867d324f69b4b00", + "dataset_id": "m8", + "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=job.", + "bindings": { + "group_col": "job", + "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": 21.0, + "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=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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", + "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_f/m8/artifacts/v2q_m8_47b15bab72111c6d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8a2dc036392f8982c15fca087934336569a3558 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:28:03.429977+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": 3431.59, "started_at": "2026-05-19T16:27:59.997371+00:00", "ended_at": "2026-05-19T16:28:03.429020+00:00", "prompt_metrics": {"chars": 8939, "bytes_utf8": 8939, "lines": 298, "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\":\"019e4110-cc04-7af1-a1d1-4070a92a3fbd\"}\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": "2026-05-19T16:28:08.598701+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": 4166.26, "started_at": "2026-05-19T16:28:04.431225+00:00", "ended_at": "2026-05-19T16:28:08.597546+00:00", "prompt_metrics": {"chars": 8939, "bytes_utf8": 8939, "lines": 298, "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\":\"019e4110-dd4c-7741-9a9d-aac04045d9f1\"}\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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e130507543cf39a4e032c71d698546c2c078ff3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/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": "2026-05-19T16:12:58.160768+00:00", + "ended_at": "2026-05-19T16:13:01.755095+00:00", + "elapsed_ms": 3594.29, + "returncode": 1, + "prompt_metrics": { + "chars": 9363, + "bytes_utf8": 9363, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4137be310674b6fd28f05ec0dae50cb500f37289 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/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": "2026-05-19T16:13:02.758219+00:00", + "ended_at": "2026-05-19T16:13:05.732412+00:00", + "elapsed_ms": 2974.15, + "returncode": 1, + "prompt_metrics": { + "chars": 9363, + "bytes_utf8": 9363, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8443ec34b6e9a53b8d14dc06ab9dda42b3b13493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=job, measure_col=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "job", + "measure_col": "duration", + "item_col": "campaign", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8443ec34b6e9a53b8d14dc06ab9dda42b3b13493 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=job, measure_col=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "job", + "measure_col": "duration", + "item_col": "campaign", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..47f684017430b07b87dc9e793e4d9b15b006e1ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-08b3-7f91-a774-cfd28c2b9800"} +{"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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..390cd3135b10dfa6ba3aa470b14d044edf87d0dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-08b3-7f91-a774-cfd28c2b9800"} +{"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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5d2f92a2fed26a24a5c974b44f961602b5fc393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-1acc-7af2-8262-a46cb24e8007"} +{"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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..41443a574d621400705eb7879a7078eaf26e43ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-1acc-7af2-8262-a46cb24e8007"} +{"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_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ba41136f149d343/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..62ee57c20e64ab23cf7f01c71fc802144a8be876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:26:52.472412+00:00", + "ended_at": "2026-05-19T16:27:01.010762+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_4e852a260ed496db", + "problem_id": "v2p_m8_ba3ed8ca41441230", + "dataset_id": "m8", + "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=previous.", + "bindings": { + "measure_col": "previous", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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", + "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_f/m8/artifacts/v2q_m8_4e852a260ed496db/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74325459b808dbf07deb14df8c8d154c5dcc6dc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:26:55.785658+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": 3306.96, "started_at": "2026-05-19T16:26:52.477388+00:00", "ended_at": "2026-05-19T16:26:55.784398+00:00", "prompt_metrics": {"chars": 8895, "bytes_utf8": 8895, "lines": 298, "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\":\"019e410f-c41b-71a3-9a25-9006eaefa4ea\"}\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": "2026-05-19T16:27:01.010648+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": 4222.41, "started_at": "2026-05-19T16:26:56.787145+00:00", "ended_at": "2026-05-19T16:27:01.009601+00:00", "prompt_metrics": {"chars": 8895, "bytes_utf8": 8895, "lines": 298, "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\":\"019e410f-d512-7513-ab65-4514dd895e13\"}\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_f/m8/artifacts/v2q_m8_4ef53965159a5605/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..42e1ba1f799ddb966657319109906d2ce064ed7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:20:11.303218+00:00", + "ended_at": "2026-05-19T16:20:27.398869+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_4ef53965159a5605", + "problem_id": "v2p_m8_4f81f0fe76c96008", + "dataset_id": "m8", + "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": "count_distribution", + "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 count_distribution. Focus on group_col=loan, measure_col=campaign.", + "bindings": { + "group_col": "loan", + "measure_col": "campaign", + "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": 2.0, + "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": "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=2/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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", + "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_f/m8/artifacts/v2q_m8_4ef53965159a5605/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e17401382f0111e179b9a14d7ef5c920e469c4ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:20:15.136373+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": 3829.47, "started_at": "2026-05-19T16:20:11.306144+00:00", "ended_at": "2026-05-19T16:20:15.135635+00:00", "prompt_metrics": {"chars": 9507, "bytes_utf8": 9507, "lines": 300, "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\":\"019e4109-a4c1-7c03-b192-71e4c69b06d8\"}\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": "2026-05-19T16:20:27.398671+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": 11259.54, "started_at": "2026-05-19T16:20:16.137606+00:00", "ended_at": "2026-05-19T16:20:27.397193+00:00", "prompt_metrics": {"chars": 9507, "bytes_utf8": 9507, "lines": 300, "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\":\"019e4109-b797-7d40-8e24-0a1d8fe03c33\"}\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_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..005aa5c467dead35d0acc08dd3c67f0029b1539d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:14:04.507040+00:00", + "ended_at": "2026-05-19T16:14:14.876201+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_50c61ecd01efe7aa", + "problem_id": "v2p_m8_687547039ff30bd1", + "dataset_id": "m8", + "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=day, condition_col=poutcome.", + "bindings": { + "group_col": "day", + "condition_col": "poutcome", + "condition_value": "unknown", + "positive_value": "unknown", + "negative_value": "failure", + "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": 319.0, + "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=3", + "sql_variant_index=1/1", + "binding_index=38" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5564722a88e1574679924dccd126964b80570c16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:09.491257+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": 4980.52, "started_at": "2026-05-19T16:14:04.509910+00:00", "ended_at": "2026-05-19T16:14:09.490462+00:00", "prompt_metrics": {"chars": 9775, "bytes_utf8": 9775, "lines": 303, "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\":\"019e4104-0be6-7ab3-8324-aeb9bf56a2cc\"}\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": "2026-05-19T16:14:14.876052+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": 4382.55, "started_at": "2026-05-19T16:14:10.492244+00:00", "ended_at": "2026-05-19T16:14:14.874828+00:00", "prompt_metrics": {"chars": 9775, "bytes_utf8": 9775, "lines": 303, "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\":\"019e4104-234b-7d93-ae60-60b1c4d67d61\"}\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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b2bd588630c80af41d78425c46f05ebee4b3d54c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/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": "2026-05-19T16:17:11.651982+00:00", + "ended_at": "2026-05-19T16:17:15.007507+00:00", + "elapsed_ms": 3355.41, + "returncode": 1, + "prompt_metrics": { + "chars": 9132, + "bytes_utf8": 9132, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3e83c297c0f5c7bd5625efb13f623a7a36814032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/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": "2026-05-19T16:17:16.010676+00:00", + "ended_at": "2026-05-19T16:17:19.361558+00:00", + "elapsed_ms": 3350.8, + "returncode": 1, + "prompt_metrics": { + "chars": 9132, + "bytes_utf8": 9132, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83b903e0e692ce6e11057c22e41170f815d2b43f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=duration.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "duration", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..83b903e0e692ce6e11057c22e41170f815d2b43f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=duration.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "duration", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c08710b807d39df50e52fe296ecba150e723a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-e75f-7493-ad51-ede55ce4811a"} +{"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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8a7abe7809a6cf6f02fe58176f985d4f6971728 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-e75f-7493-ad51-ede55ce4811a"} +{"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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..446327ee9da7027f3097c795ae44215840818763 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-f857-7082-9634-1837219cf246"} +{"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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d48881a543225e0d73ebdaed3e304d12efb47db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-f857-7082-9634-1837219cf246"} +{"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_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_511faf8d418c0dfc/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1e52bdea9814ca2022488b4fc66b08d601c5e5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "blue-collar", "support": 9732, "support_share": 0.21525734887527373, "support_rank": 1}, {"value_label": "management", "support": 9458, "support_share": 0.20919687686624935, "support_rank": 2}, {"value_label": "technician", "support": 7597, "support_share": 0.16803432792904383, "support_rank": 3}, {"value_label": "admin.", "support": 5171, "support_share": 0.11437482028709828, "support_rank": 4}, {"value_label": "services", "support": 4154, "support_share": 0.09188029461856628, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d058dc0b044b42d1940e38c2fa8fc915c31294cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_514399d6bc7ab14a +-- problem_id: v2p_m8_ca27fbe2a47cdd60 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "job" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "job" +) +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_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..76b1b49f713cd1ed339fbbbf5128720c1a36d62d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/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_f\n-- sql_source_dataset_id: m8\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_m8_514399d6bc7ab14a\n-- problem_id: v2p_m8_ca27fbe2a47cdd60\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"job\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"job\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_514399d6bc7ab14a\\n-- problem_id: v2p_m8_ca27fbe2a47cdd60\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"job\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"job\\\"\\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\": \"blue-collar\", \"support\": 9732, \"support_share\": 0.21525734887527373, \"support_rank\": 1}, {\"value_label\": \"management\", \"support\": 9458, \"support_share\": 0.20919687686624935, \"support_rank\": 2}, {\"value_label\": \"technician\", \"support\": 7597, \"support_share\": 0.16803432792904383, \"support_rank\": 3}, {\"value_label\": \"admin.\", \"support\": 5171, \"support_share\": 0.11437482028709828, \"support_rank\": 4}, {\"value_label\": \"services\", \"support\": 4154, \"support_share\": 0.09188029461856628, \"support_rank\": 5}, {\"value_label\": \"retired\", \"support\": 2264, \"support_share\": 0.05007630886288735, \"support_rank\": 6}, {\"value_label\": \"self-employed\", \"support\": 1579, \"support_share\": 0.03492512884032647, \"support_rank\": 7}, {\"value_label\": \"entrepreneur\", \"support\": 1487, \"support_share\": 0.03289022582999712, \"support_rank\": 8}, {\"value_label\": \"unemployed\", \"support\": 1303, \"support_share\": 0.028820419809338436, \"support_rank\": 9}, {\"value_label\": \"housemaid\", \"support\": 1240, \"support_share\": 0.027426953617482472, \"support_rank\": 10}, {\"value_label\": \"student\", \"support\": 938, \"support_share\": 0.02074716330096658, \"support_rank\": 11}, {\"value_label\": \"unknown\", \"support\": 288, \"support_share\": 0.006370131162770122, \"support_rank\": 12}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f5f71021e17f779cedbc8e6c192c732b76639048 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.825795+00:00", + "ended_at": "2026-05-19T16:32:31.844984+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_514399d6bc7ab14a", + "problem_id": "v2p_m8_ca27fbe2a47cdd60", + "dataset_id": "m8", + "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=job.", + "bindings": { + "group_col": "job" + }, + "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_f/m8/sql/v2q_m8_514399d6bc7ab14a.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_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_514399d6bc7ab14a/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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..abe8384c9911647544366c5a4bc4d9db34b51f1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/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": "2026-05-19T16:22:26.310108+00:00", + "ended_at": "2026-05-19T16:22:29.810400+00:00", + "elapsed_ms": 3500.24, + "returncode": 1, + "prompt_metrics": { + "chars": 9121, + "bytes_utf8": 9121, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a146c3bc326b9e0055c2a8844a43d623981e0f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/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": "2026-05-19T16:22:30.812784+00:00", + "ended_at": "2026-05-19T16:22:34.203634+00:00", + "elapsed_ms": 3390.79, + "returncode": 1, + "prompt_metrics": { + "chars": 9121, + "bytes_utf8": 9121, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2fd85d1f943790cafb38061f253cb72c6376bc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=y, measure_col=pdays.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "y", + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2fd85d1f943790cafb38061f253cb72c6376bc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=y, measure_col=pdays.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "y", + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26aefdb7f5277b1305fc2e3bf7c9ffc8937aaf7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-b47d-76e0-b439-706fd2a00847"} +{"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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12422510a9a5d7ea912f40124a329117d1c16dfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-b47d-76e0-b439-706fd2a00847"} +{"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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1030b45e9e50ad8b66e6c82cf610145033f9f5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-c60a-7b02-afb0-dc3f0557058d"} +{"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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffd326ddcd5274f0c028c59c8193f8dc7c27aa3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-c60a-7b02-afb0-dc3f0557058d"} +{"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_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5403f25899bb6c5e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cc2bac69f05d948ce64af0e1dd7f08f9ae9c043e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:08:05.119314+00:00", + "ended_at": "2026-05-19T16:08:12.497904+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_542e88d816cb0cb3", + "problem_id": "v2p_m8_6638934381cc163d", + "dataset_id": "m8", + "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=job, measure_col=balance.", + "bindings": { + "group_col": "job", + "measure_col": "balance", + "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": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "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_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..826df88b15164ff2a1a190abed8bc4304e38d43f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:08.293370+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": 3170.29, "started_at": "2026-05-19T16:08:05.122358+00:00", "ended_at": "2026-05-19T16:08:08.292672+00:00", "prompt_metrics": {"chars": 8951, "bytes_utf8": 8951, "lines": 300, "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-9000-7af3-8a3f-f68cc3cf67d9\"}\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": "2026-05-19T16:08:12.497817+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": 3202.69, "started_at": "2026-05-19T16:08:09.294438+00:00", "ended_at": "2026-05-19T16:08:12.497162+00:00", "prompt_metrics": {"chars": 8951, "bytes_utf8": 8951, "lines": 300, "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-a051-7ca2-af79-36a1c9b542c2\"}\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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..36e97f428c2764cc2faa8cf8ad03ffc12fdb90a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/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": "2026-05-19T16:26:04.570719+00:00", + "ended_at": "2026-05-19T16:26:08.162455+00:00", + "elapsed_ms": 3591.69, + "returncode": 1, + "prompt_metrics": { + "chars": 9194, + "bytes_utf8": 9194, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0fb85b80b931e2e13428247f93e004897fe52702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/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": "2026-05-19T16:26:09.165068+00:00", + "ended_at": "2026-05-19T16:26:12.126429+00:00", + "elapsed_ms": 2961.29, + "returncode": 1, + "prompt_metrics": { + "chars": 9194, + "bytes_utf8": 9194, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f1426acf21d2fa6b2f72ff8e4782400abed9d0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=poutcome, condition_col=y.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "poutcome", + "condition_col": "y", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f1426acf21d2fa6b2f72ff8e4782400abed9d0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=poutcome, condition_col=y.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "poutcome", + "condition_col": "y", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2181806a354bb96721819dc59408f94b41de6761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-0922-7ab3-b3f3-cea39b681aa6"} +{"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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a7f47f73abc56353778a99494382f7af767a695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-0922-7ab3-b3f3-cea39b681aa6"} +{"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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bd72073ca231e48c0c57bd7c3b24f0da39131df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-1b04-7b02-9d3f-7e6b867a8939"} +{"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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6de3b0065cc8239578de50a433d2c00dade31566 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-1b04-7b02-9d3f-7e6b867a8939"} +{"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_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_56c8ef00a8bdbd6c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8cfc0715ff2e79cc47c72d820f78a6813797f363 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/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": "2026-05-19T16:26:12.132560+00:00", + "ended_at": "2026-05-19T16:26:15.354743+00:00", + "elapsed_ms": 3222.14, + "returncode": 1, + "prompt_metrics": { + "chars": 9210, + "bytes_utf8": 9210, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..971fcdfa162254c102393ae1dfdd63db225fa043 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/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": "2026-05-19T16:26:16.357757+00:00", + "ended_at": "2026-05-19T16:26:19.948609+00:00", + "elapsed_ms": 3590.78, + "returncode": 1, + "prompt_metrics": { + "chars": 9210, + "bytes_utf8": 9210, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..81177fb03f8185d564ec5ccd8a7944c085797a35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=y, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "y", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..81177fb03f8185d564ec5ccd8a7944c085797a35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=y, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "y", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cd0a8ccbd32219bcf0e3949be5ad44224e3c2d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-2688-77c0-bbd1-760193ec9035"} +{"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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..977374cb5a3ddd529fc352bb5f647db2bd89a6a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-2688-77c0-bbd1-760193ec9035"} +{"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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..76ae414e67fe26f26f5676d88d7446007c15fed7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-3708-7101-823e-e34689fdd142"} +{"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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8fee567e47138a5dc1e9fc0a553d8a698898188 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-3708-7101-823e-e34689fdd142"} +{"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_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_58667ace4eed7104/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..105987101f2c6dc62d64ea5284365ac49dc3ae4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:18:16.904088+00:00", + "ended_at": "2026-05-19T16:18:24.456866+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_586b537ca111f8be", + "problem_id": "v2p_m8_3772842c02f2a051", + "dataset_id": "m8", + "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=y, measure_col=campaign.", + "bindings": { + "group_col": "y", + "measure_col": "campaign", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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", + "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_f/m8/artifacts/v2q_m8_586b537ca111f8be/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de20d66b231a68bc8f76ef04cd7d4e097659ab60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:18:20.119225+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": 3211.29, "started_at": "2026-05-19T16:18:16.907131+00:00", "ended_at": "2026-05-19T16:18:20.118447+00:00", "prompt_metrics": {"chars": 9502, "bytes_utf8": 9502, "lines": 300, "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\":\"019e4107-e5e7-7633-ac4a-a87bf0d2b8b8\"}\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": "2026-05-19T16:18:24.456775+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": 3335.24, "started_at": "2026-05-19T16:18:21.120790+00:00", "ended_at": "2026-05-19T16:18:24.456075+00:00", "prompt_metrics": {"chars": 9502, "bytes_utf8": 9502, "lines": 300, "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\":\"019e4107-f656-7113-8fb6-5ebf2bd4286e\"}\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_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..14993034f0e32bc3d41982113841658d7d05c188 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:24:48.917214+00:00", + "ended_at": "2026-05-19T16:24:58.696256+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_5abd263a0ccb995d", + "problem_id": "v2p_m8_a50e6fbc73352471", + "dataset_id": "m8", + "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=month, condition_col=housing.", + "bindings": { + "group_col": "month", + "condition_col": "housing", + "condition_value": "yes", + "positive_value": "yes", + "negative_value": "no", + "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": 1428.0, + "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", + "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_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2f87778eb2dc972fc89a82073530087b2f1ad59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:24:52.390136+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": 3467.17, "started_at": "2026-05-19T16:24:48.922067+00:00", "ended_at": "2026-05-19T16:24:52.389273+00:00", "prompt_metrics": {"chars": 9195, "bytes_utf8": 9195, "lines": 303, "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\":\"019e410d-e18e-7971-9d30-0a345353cfa0\"}\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": "2026-05-19T16:24:58.696139+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": 5303.83, "started_at": "2026-05-19T16:24:53.391250+00:00", "ended_at": "2026-05-19T16:24:58.695132+00:00", "prompt_metrics": {"chars": 9195, "bytes_utf8": 9195, "lines": 303, "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\":\"019e410d-f2f2-77c3-bc66-1922b1405f7a\"}\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_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c0e1c59ad5f972756327d1f9edd31b5ec12a4731 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:30:20.250900+00:00", + "ended_at": "2026-05-19T16:30:28.423503+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_5e2eeb8cd368d180", + "problem_id": "v2p_m8_0859cd60e761d6ed", + "dataset_id": "m8", + "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": "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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=poutcome, measure_col=age.", + "bindings": { + "group_col": "poutcome", + "measure_col": "age", + "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": 48.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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", + "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_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6db279dc16aadbf79f09d7c758f271639ac4ba78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:30:23.885116+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": 3627.61, "started_at": "2026-05-19T16:30:20.256529+00:00", "ended_at": "2026-05-19T16:30:23.884179+00:00", "prompt_metrics": {"chars": 9031, "bytes_utf8": 9031, "lines": 300, "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\":\"019e4112-efe8-7b01-8115-9f936203e706\"}\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": "2026-05-19T16:30:28.423388+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": 3535.16, "started_at": "2026-05-19T16:30:24.887171+00:00", "ended_at": "2026-05-19T16:30:28.422393+00:00", "prompt_metrics": {"chars": 9031, "bytes_utf8": 9031, "lines": 300, "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\":\"019e4113-01f8-7380-bd28-45db5501f8cb\"}\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_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e22cee79175a30ca8cf784a5704cd72c837d15ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:13:20.633422+00:00", + "ended_at": "2026-05-19T16:13:28.937172+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_5f1e2e46bf30db46", + "problem_id": "v2p_m8_c6874f009bca6307", + "dataset_id": "m8", + "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=education, measure_col=pdays.", + "bindings": { + "group_col": "education", + "measure_col": "pdays", + "item_col": "previous", + "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": -1.0, + "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=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", + "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_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a3eeab5a0d12dc966f3a2609c2b67501ca9105d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:24.836469+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": 4198.6, "started_at": "2026-05-19T16:13:20.636869+00:00", "ended_at": "2026-05-19T16:13:24.835500+00:00", "prompt_metrics": {"chars": 9361, "bytes_utf8": 9361, "lines": 302, "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\":\"019e4103-607a-7043-ab91-aa747a96fc86\"}\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": "2026-05-19T16:13:28.937060+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": 3098.0, "started_at": "2026-05-19T16:13:25.838156+00:00", "ended_at": "2026-05-19T16:13:28.936205+00:00", "prompt_metrics": {"chars": 9361, "bytes_utf8": 9361, "lines": 302, "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\":\"019e4103-74e9-7c92-aaf6-684a02c20c82\"}\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_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..06a2fa8ac723b5400e5cf929da03be0822570cb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:13:57.460607+00:00", + "ended_at": "2026-05-19T16:14:04.506675+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_5f1f610ca61e5c4a", + "problem_id": "v2p_m8_a44e7a3d1e60b904", + "dataset_id": "m8", + "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=contact, condition_col=contact.", + "bindings": { + "group_col": "contact", + "condition_col": "contact", + "condition_value": "cellular", + "positive_value": "cellular", + "negative_value": "unknown", + "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": 21.0, + "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=2", + "sql_variant_index=1/1", + "binding_index=37" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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", + "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_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f09ea6e764681b8d192a03af121099cd2af2a38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:00.580253+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": 3115.67, "started_at": "2026-05-19T16:13:57.463765+00:00", "ended_at": "2026-05-19T16:14:00.579464+00:00", "prompt_metrics": {"chars": 9781, "bytes_utf8": 9781, "lines": 303, "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\":\"019e4103-f084-71a1-becb-60ade33b1370\"}\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": "2026-05-19T16:14:04.506587+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": 2924.71, "started_at": "2026-05-19T16:14:01.581125+00:00", "ended_at": "2026-05-19T16:14:04.505865+00:00", "prompt_metrics": {"chars": 9781, "bytes_utf8": 9781, "lines": 303, "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\":\"019e4104-0074-7f52-bfce-3e8b5ff8f500\"}\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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2673387a167d230b2d89da07f841671f1216b981 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/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": "2026-05-19T16:10:42.835691+00:00", + "ended_at": "2026-05-19T16:10:45.508087+00:00", + "elapsed_ms": 2672.37, + "returncode": 1, + "prompt_metrics": { + "chars": 8868, + "bytes_utf8": 8868, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5f2d8ff7b0092548d26d6623d686dd176c7e6dda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/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": "2026-05-19T16:10:46.510148+00:00", + "ended_at": "2026-05-19T16:10:49.419243+00:00", + "elapsed_ms": 2909.05, + "returncode": 1, + "prompt_metrics": { + "chars": 8868, + "bytes_utf8": 8868, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa59d8b1bb76c19dbb15b7b773f4c9fd035dd75e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=marital.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "marital", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa59d8b1bb76c19dbb15b7b773f4c9fd035dd75e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=marital.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "marital", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eeb7ff004626970e8f0982791dcee83067b27b56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-f810-75f1-8179-83ae682d8002"} +{"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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b71f535f45d69a1e0e8b51e790adac8e290e0d80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-f810-75f1-8179-83ae682d8002"} +{"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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..343a46855baea03e2e2ac1af118594847b40b0b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-0688-71c0-a600-1dfa30f4373b"} +{"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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66ac304d0b3ded573e4ff8bf68f49949fc87dc92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-0688-71c0-a600-1dfa30f4373b"} +{"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_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_601a7236a6b81396/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..25e719e2ede10d8a280445aae470b4a1ee21a138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/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": "2026-05-19T16:32:06.157302+00:00", + "ended_at": "2026-05-19T16:32:09.618735+00:00", + "elapsed_ms": 3461.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9043, + "bytes_utf8": 9043, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3743f574db23d238e48b19fbd2b5431706491c51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/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": "2026-05-19T16:32:10.621790+00:00", + "ended_at": "2026-05-19T16:32:14.006371+00:00", + "elapsed_ms": 3384.51, + "returncode": 1, + "prompt_metrics": { + "chars": 9043, + "bytes_utf8": 9043, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4247e6e5455b635241970a70326c6df213ce4704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=default, measure_col=previous.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "default", + "measure_col": "previous", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4247e6e5455b635241970a70326c6df213ce4704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=default, measure_col=previous.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "default", + "measure_col": "previous", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8088bf12c3d62bff3e2e3865ce09a412682170b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-8d85-7f21-ac2c-c0b40253ddfc"} +{"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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aca07c5c1806806ca14c62926ab173224a77f665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-8d85-7f21-ac2c-c0b40253ddfc"} +{"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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29b35a6780ac7333bcad1c8ed45ce3a1152dc8b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-9eeb-74a2-a244-95f0ee234670"} +{"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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..191a673a46fc68a00e5f759c87a5d160c86c3e6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-9eeb-74a2-a244-95f0ee234670"} +{"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_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_603e6a3c02466340/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dfda104a3406977c98a0086843145e26afa2bd48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/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": "2026-05-19T16:15:41.214504+00:00", + "ended_at": "2026-05-19T16:15:44.206226+00:00", + "elapsed_ms": 2991.7, + "returncode": 1, + "prompt_metrics": { + "chars": 9261, + "bytes_utf8": 9261, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..acb304c7b92d3cb2ce6a79954636d2521f3f684e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/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": "2026-05-19T16:15:45.208290+00:00", + "ended_at": "2026-05-19T16:15:48.690157+00:00", + "elapsed_ms": 3481.82, + "returncode": 1, + "prompt_metrics": { + "chars": 9261, + "bytes_utf8": 9261, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..049cec5c354f8e16ea23a5cac21da1e82038d518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=default, group_col_2=day.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "default", + "group_col_2": "day", + "predicate_col": "marital", + "predicate_op": "=", + "predicate_value": "divorced", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..049cec5c354f8e16ea23a5cac21da1e82038d518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=default, group_col_2=day.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "default", + "group_col_2": "day", + "predicate_col": "marital", + "predicate_op": "=", + "predicate_value": "divorced", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a2420963d3c8d948afc5fe3b96e99a6c4a74c7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-8594-7f13-b8a1-2a564b048b3c"} +{"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_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cad82919aea49d0ebe449ca71638f642fe966365 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-8594-7f13-b8a1-2a564b048b3c"} +{"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_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ebe0cafb69a457a02ea0780a7831855bf732a03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-9545-7cb0-bee3-c5cf513af92d"} +{"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_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a95acc5dbd166a08a76086cace5b05180d448ff3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-9545-7cb0-bee3-c5cf513af92d"} +{"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_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61b504edc193ce7b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e76733c446766324256235c9b02250c6231cfff6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/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": "2026-05-19T16:18:58.450442+00:00", + "ended_at": "2026-05-19T16:19:01.261458+00:00", + "elapsed_ms": 2810.98, + "returncode": 1, + "prompt_metrics": { + "chars": 9503, + "bytes_utf8": 9503, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b7eda291c0fba8da6cde1d6ecb4a38b7c02d374 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/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": "2026-05-19T16:19:02.263766+00:00", + "ended_at": "2026-05-19T16:19:05.191829+00:00", + "elapsed_ms": 2928.01, + "returncode": 1, + "prompt_metrics": { + "chars": 9503, + "bytes_utf8": 9503, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff7dfaef53c7d04248b88bea5411a273d31001a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=marital, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "marital", + "measure_col": "age", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff7dfaef53c7d04248b88bea5411a273d31001a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=marital, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "marital", + "measure_col": "age", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f47122507b610ed98bbec2f139bbc9a5083858c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-880d-77a3-b6d6-03df12c6757d"} +{"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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65ac2cceb538265d24f5deea7918d82f1072c086 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-880d-77a3-b6d6-03df12c6757d"} +{"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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f34b25c79f139ecbc17da1ad2258a13ebef244f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-96fe-7272-ada3-f29dca8f610a"} +{"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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..278493015c83d35318083fe00d15b5fa866666f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-96fe-7272-ada3-f29dca8f610a"} +{"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_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_61ebb837a9806ab6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5dd47919019359b268809f8fa50a43f59e229f5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/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": "2026-05-19T16:25:40.468443+00:00", + "ended_at": "2026-05-19T16:25:44.105119+00:00", + "elapsed_ms": 3636.63, + "returncode": 1, + "prompt_metrics": { + "chars": 9227, + "bytes_utf8": 9227, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f7a26d4182a95c5053138d5733b670574ff6e968 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/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": "2026-05-19T16:25:45.108113+00:00", + "ended_at": "2026-05-19T16:25:48.709878+00:00", + "elapsed_ms": 3601.69, + "returncode": 1, + "prompt_metrics": { + "chars": 9227, + "bytes_utf8": 9227, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f977c92c2092203994089507a8887a0faf3174b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=previous, condition_col=poutcome.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "previous", + "condition_col": "poutcome", + "condition_value": "unknown", + "positive_value": "unknown", + "negative_value": "failure", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f977c92c2092203994089507a8887a0faf3174b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=previous, condition_col=poutcome.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "previous", + "condition_col": "poutcome", + "condition_value": "unknown", + "positive_value": "unknown", + "negative_value": "failure", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3fdd7ef655cd96a22be5191fa1e526f081c4420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-aaf7-7871-a128-0a0fa83aacf3"} +{"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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b40a1c69688d6396b304ba9a42a22ff05a46f1c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-aaf7-7871-a128-0a0fa83aacf3"} +{"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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..157f8995073c19d4281fab6966d79df1bc8a178f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-bd1c-7702-87b1-f76e17ddf7d4"} +{"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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ede472fa62741f8bd0c4581d568a33f7dcaf1da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-bd1c-7702-87b1-f76e17ddf7d4"} +{"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_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_628e01bb6b204b41/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4c7db17f0d960f94c34661ae2c62185036d3614b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:10:06.263898+00:00", + "ended_at": "2026-05-19T16:10:13.043784+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_63de99dff6cabc65", + "problem_id": "v2p_m8_63c4704164d790b1", + "dataset_id": "m8", + "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=previous.", + "bindings": { + "group_col": "previous", + "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": -1.0, + "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", + "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_f/m8/artifacts/v2q_m8_63de99dff6cabc65/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac4ed9fa04b67315ff0272bac2cff04fe805509f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:09.328819+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": 3061.13, "started_at": "2026-05-19T16:10:06.266926+00:00", "ended_at": "2026-05-19T16:10:09.328082+00:00", "prompt_metrics": {"chars": 8870, "bytes_utf8": 8870, "lines": 298, "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\":\"019e4100-692f-71e0-b394-36507eb46505\"}\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": "2026-05-19T16:10:13.043587+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": 2707.25, "started_at": "2026-05-19T16:10:10.334658+00:00", "ended_at": "2026-05-19T16:10:13.042050+00:00", "prompt_metrics": {"chars": 8870, "bytes_utf8": 8870, "lines": 298, "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\":\"019e4100-792a-7270-a22d-9a9502b6d3fd\"}\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_f/m8/artifacts/v2q_m8_6425a123952622f2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a0652306d89b4426ae1f1372ace1541972e4f1e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/run_manifest.json @@ -0,0 +1,73 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:16:07.941460+00:00", + "ended_at": "2026-05-19T16:16:20.378310+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_6425a123952622f2", + "problem_id": "v2p_m8_aecfded624b04570", + "dataset_id": "m8", + "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=default, group_col_2=pdays.", + "bindings": { + "group_col": "default", + "group_col_2": "pdays", + "predicate_col": "balance", + "predicate_op": ">=", + "predicate_value": 1428.0, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 48.0, + "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", + "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_f/m8/artifacts/v2q_m8_6425a123952622f2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b75b469184cb0ad40e649a7a7035b489407227a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:16:15.954614+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": 8007.75, "started_at": "2026-05-19T16:16:07.945756+00:00", "ended_at": "2026-05-19T16:16:15.953550+00:00", "prompt_metrics": {"chars": 9264, "bytes_utf8": 9264, "lines": 304, "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\":\"019e4105-eeaa-7b00-8f30-85c895497eee\"}\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": "2026-05-19T16:16:20.378187+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": 3420.53, "started_at": "2026-05-19T16:16:16.956565+00:00", "ended_at": "2026-05-19T16:16:20.377162+00:00", "prompt_metrics": {"chars": 9264, "bytes_utf8": 9264, "lines": 304, "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\":\"019e4106-11b7-7fb3-80f2-7eeb8ad6dd32\"}\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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a7970cfbed3f4bcb089438c2fc0fb30b548a7bb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/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": "2026-05-19T16:10:49.424253+00:00", + "ended_at": "2026-05-19T16:10:52.338293+00:00", + "elapsed_ms": 2914.02, + "returncode": 1, + "prompt_metrics": { + "chars": 8871, + "bytes_utf8": 8871, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5669ad3ea6edcc7659f1445cec40711ead726f7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/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": "2026-05-19T16:10:53.339916+00:00", + "ended_at": "2026-05-19T16:10:55.988518+00:00", + "elapsed_ms": 2648.56, + "returncode": 1, + "prompt_metrics": { + "chars": 8871, + "bytes_utf8": 8871, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6714233fd77523584d072e278a0a23d8c20f774 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=education.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "education", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6714233fd77523584d072e278a0a23d8c20f774 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=education.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "education", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..030cf2353940287636cc31766bad0adee5617781 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-11e3-7b11-ab52-1c9754791372"} +{"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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..98a83c9e9955e12eeb6121b4ba8b551b2fbba66c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-11e3-7b11-ab52-1c9754791372"} +{"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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..271079ab91e8861784352dc67e81fd6e9302fa33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2124-7b23-a393-6b5e68e78dca"} +{"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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..720da240452efb9ac0e19f1a2fdfb84b0ffb33be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2124-7b23-a393-6b5e68e78dca"} +{"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_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_649ad8690d9880a4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a382b1170c53e5f63c2787a7925d9393426688c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/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": "2026-05-19T16:23:33.161514+00:00", + "ended_at": "2026-05-19T16:23:36.282510+00:00", + "elapsed_ms": 3120.95, + "returncode": 1, + "prompt_metrics": { + "chars": 9129, + "bytes_utf8": 9129, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e36f1e061a5f0be6442aef8ab4e50baf8be41508 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/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": "2026-05-19T16:23:37.285283+00:00", + "ended_at": "2026-05-19T16:23:40.808596+00:00", + "elapsed_ms": 3523.25, + "returncode": 1, + "prompt_metrics": { + "chars": 9129, + "bytes_utf8": 9129, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..653eb40e238c2450c4a4234e3f8559917141a0c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=education, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "education", + "measure_col": "day", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..653eb40e238c2450c4a4234e3f8559917141a0c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=education, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "education", + "measure_col": "day", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3829dc2a185cc0449d1ecc29eabbeddcb1f5c432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-b98c-75b2-93af-a1c50c1b3784"} +{"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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46e661c0a40c359c028d4df55800d6199d19efe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-b98c-75b2-93af-a1c50c1b3784"} +{"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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f446f708cbae8e1170fb8acf96d1d0ad57f5972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-c9bf-7381-a88e-fd891f2b9df0"} +{"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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..28d9abe34ce70c4628b9fc08c230bd29646d5239 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-c9bf-7381-a88e-fd891f2b9df0"} +{"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_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6745ec0fad1b374e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..62988b53d37e196dee98176c1a03556033b9f680 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/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": "2026-05-19T16:26:19.956444+00:00", + "ended_at": "2026-05-19T16:26:23.354427+00:00", + "elapsed_ms": 3397.94, + "returncode": 1, + "prompt_metrics": { + "chars": 9206, + "bytes_utf8": 9206, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2d1eb2ccdd1f11f3341505f76f4c276f8f39f06f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/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": "2026-05-19T16:26:24.356744+00:00", + "ended_at": "2026-05-19T16:26:29.229393+00:00", + "elapsed_ms": 4872.6, + "returncode": 1, + "prompt_metrics": { + "chars": 9206, + "bytes_utf8": 9206, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7ed6029b86ecb71d2fc3f6b527038c56d5312ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=y, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "y", + "condition_col": "marital", + "condition_value": "single", + "positive_value": "married", + "negative_value": "single", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7ed6029b86ecb71d2fc3f6b527038c56d5312ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=y, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "y", + "condition_col": "marital", + "condition_value": "single", + "positive_value": "married", + "negative_value": "single", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b015eeebacf1a1a29b602cb6b0629e845f000190 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-4513-7ec2-8b23-38c13c73fd5d"} +{"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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce198fb9143e04198b8aa2afdd62871c636a7ecf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-4513-7ec2-8b23-38c13c73fd5d"} +{"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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..85219401a23bf1a84715bd5ab31ae6a823f44666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-564d-7593-b2f7-c5fd6672847b"} +{"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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..46aeeab1a3aa5f048716135caad8758903397fd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-564d-7593-b2f7-c5fd6672847b"} +{"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_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_68ce32f9fad8f267/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..29d70474f9e1992ae556d022b4371045d4776397 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/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": "2026-05-19T16:13:13.331548+00:00", + "ended_at": "2026-05-19T16:13:16.843803+00:00", + "elapsed_ms": 3512.23, + "returncode": 1, + "prompt_metrics": { + "chars": 9361, + "bytes_utf8": 9361, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d70d770c59c0e141b9bfba486d3e43c94330b3ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/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": "2026-05-19T16:13:17.846109+00:00", + "ended_at": "2026-05-19T16:13:20.630758+00:00", + "elapsed_ms": 2784.6, + "returncode": 1, + "prompt_metrics": { + "chars": 9361, + "bytes_utf8": 9361, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86f5a095b7a4b1c5139ee61d4d5605e129992194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=marital, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "marital", + "measure_col": "campaign", + "item_col": "pdays", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..86f5a095b7a4b1c5139ee61d4d5605e129992194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=marital, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "marital", + "measure_col": "campaign", + "item_col": "pdays", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c49f4bf132bedd00a2d93c792980c27eb19b019 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-43ef-7dc0-9394-f493eaa81e30"} +{"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_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f0fefa96268371005228441bac6779b0eaef325 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-43ef-7dc0-9394-f493eaa81e30"} +{"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_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4c06d77ad55ecd5d5814d7275e39ed3ce62fcdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-55a6-76d1-bbc6-b4fada0e4d38"} +{"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_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f17c8be03d1ebc515b75502d18defa26406e8721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-55a6-76d1-bbc6-b4fada0e4d38"} +{"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_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c36a4043d69d876/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..401a397a91013e87403e32013d2d252d92a4c690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:17:02.926839+00:00", + "ended_at": "2026-05-19T16:17:11.646114+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_6c7f4de0bc14473c", + "problem_id": "v2p_m8_c32b1569c286d4fb", + "dataset_id": "m8", + "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=day.", + "bindings": { + "measure_col": "day", + "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": 21.0, + "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=6", + "sql_variant_index=1/1", + "binding_index=65" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 6, + "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_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..753cd7bab529174c735b28c74ed56857ad3f593d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:17:06.385323+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": 3452.88, "started_at": "2026-05-19T16:17:02.931350+00:00", "ended_at": "2026-05-19T16:17:06.384276+00:00", "prompt_metrics": {"chars": 9120, "bytes_utf8": 9120, "lines": 298, "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\":\"019e4106-c550-7460-a88d-715f95714872\"}\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": "2026-05-19T16:17:11.645971+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": 4257.9, "started_at": "2026-05-19T16:17:07.386884+00:00", "ended_at": "2026-05-19T16:17:11.644845+00:00", "prompt_metrics": {"chars": 9120, "bytes_utf8": 9120, "lines": 298, "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\":\"019e4106-d6a3-77f3-ab34-beda097152a9\"}\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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e6373b58588d1590ec64adba1881349b8ce4ac88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/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": "2026-05-19T16:23:02.893524+00:00", + "ended_at": "2026-05-19T16:23:06.377581+00:00", + "elapsed_ms": 3484.01, + "returncode": 1, + "prompt_metrics": { + "chars": 9121, + "bytes_utf8": 9121, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb7d8614d0406b2d8a909c87ca4dc32e69090f46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/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": "2026-05-19T16:23:07.380927+00:00", + "ended_at": "2026-05-19T16:23:10.613182+00:00", + "elapsed_ms": 3232.2, + "returncode": 1, + "prompt_metrics": { + "chars": 9121, + "bytes_utf8": 9121, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..59ed2077a4756b25a1a81392f937ffcf6d3887d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=job, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "job", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..59ed2077a4756b25a1a81392f937ffcf6d3887d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=job, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "job", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aeb967bda7e4af638c1aad729b52fe86e4bcf419 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-435d-77b2-9bc6-b0317813567f"} +{"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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be0a41dab3c10e47edf1a42c5c93de970c2f4b8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-435d-77b2-9bc6-b0317813567f"} +{"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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c2034bcb693c4ebf7a81c32e02886b057c49889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-54f7-7f02-8438-0059a5ace5af"} +{"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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8187ad428864862c16a4aff39e2d78317b070ba7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-54f7-7f02-8438-0059a5ace5af"} +{"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_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ed931ed078e5a1c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..55740ee57c1d84424722c439e9ccd806f3aa313a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"age": "32", "support": 2085, "avg_response": 1287.9640287769785}, {"age": "31", "support": 1996, "avg_response": 1193.5851703406813}, {"age": "33", "support": 1972, "avg_response": 1207.6485801217038}, {"age": "34", "support": 1930, "avg_response": 1222.440932642487}, {"age": "35", "support": 1894, "avg_response": 1100.2523759239705}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2d566efeff610efc5cde0c8e7631600510b54b98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_6ef49dcdcdc3a88c +-- problem_id: v2p_m8_2473549bb1c81b63 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("balance") AS avg_response +FROM "m8" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5734ca1572f9499695b5c91885232975c4a4a0d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/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_f\n-- sql_source_dataset_id: m8\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_m8_6ef49dcdcdc3a88c\n-- problem_id: v2p_m8_2473549bb1c81b63\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"age\",\n COUNT(*) AS support,\n AVG(\"balance\") AS avg_response\nFROM \"m8\"\nGROUP BY \"age\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_6ef49dcdcdc3a88c\\n-- problem_id: v2p_m8_2473549bb1c81b63\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"age\\\",\\n COUNT(*) AS support,\\n AVG(\\\"balance\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"age\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"age\", \"support\", \"avg_response\"], \"rows\": [{\"age\": \"32\", \"support\": 2085, \"avg_response\": 1287.9640287769785}, {\"age\": \"31\", \"support\": 1996, \"avg_response\": 1193.5851703406813}, {\"age\": \"33\", \"support\": 1972, \"avg_response\": 1207.6485801217038}, {\"age\": \"34\", \"support\": 1930, \"avg_response\": 1222.440932642487}, {\"age\": \"35\", \"support\": 1894, \"avg_response\": 1100.2523759239705}, {\"age\": \"36\", \"support\": 1806, \"avg_response\": 1198.9091915836102}, {\"age\": \"30\", \"support\": 1757, \"avg_response\": 1120.1383039271486}, {\"age\": \"37\", \"support\": 1696, \"avg_response\": 1250.4033018867924}, {\"age\": \"39\", \"support\": 1487, \"avg_response\": 1314.5917955615332}, {\"age\": \"38\", \"support\": 1466, \"avg_response\": 1389.0115961800818}, {\"age\": \"40\", \"support\": 1355, \"avg_response\": 1235.4450184501845}, {\"age\": \"41\", \"support\": 1291, \"avg_response\": 1321.1750580945004}, {\"age\": \"42\", \"support\": 1242, \"avg_response\": 1280.9967793880837}, {\"age\": \"45\", \"support\": 1216, \"avg_response\": 1458.9876644736842}, {\"age\": \"29\", \"support\": 1185, \"avg_response\": 994.8438818565401}, {\"age\": \"46\", \"support\": 1175, \"avg_response\": 1298.24}, {\"age\": \"43\", \"support\": 1161, \"avg_response\": 1421.7846683893194}, {\"age\": \"44\", \"support\": 1136, \"avg_response\": 1418.6170774647887}, {\"age\": \"47\", \"support\": 1088, \"avg_response\": 1225.7371323529412}, {\"age\": \"28\", \"support\": 1038, \"avg_response\": 968.5462427745665}, {\"age\": \"48\", \"support\": 997, \"avg_response\": 1386.1905717151453}, {\"age\": \"49\", \"support\": 994, \"avg_response\": 1436.407444668008}, {\"age\": \"50\", \"support\": 939, \"avg_response\": 1463.2076677316295}, {\"age\": \"51\", \"support\": 936, \"avg_response\": 1633.83547008547}, {\"age\": \"52\", \"support\": 911, \"avg_response\": 1340.0878155872667}, {\"age\": \"27\", \"support\": 909, \"avg_response\": 1083.7964796479648}, {\"age\": \"53\", \"support\": 891, \"avg_response\": 1644.1459034792367}, {\"age\": \"57\", \"support\": 828, \"avg_response\": 1822.5785024154588}, {\"age\": \"54\", \"support\": 811, \"avg_response\": 1595.6103575832306}, {\"age\": \"55\", \"support\": 806, \"avg_response\": 1794.1426799007445}, {\"age\": \"26\", \"support\": 805, \"avg_response\": 1034.888198757764}, {\"age\": \"56\", \"support\": 778, \"avg_response\": 1674.1825192802057}, {\"age\": \"59\", \"support\": 770, \"avg_response\": 2092.7844155844155}, {\"age\": \"58\", \"support\": 740, \"avg_response\": 1940.1702702702703}, {\"age\": \"60\", \"support\": 596, \"avg_response\": 2020.4395973154362}, {\"age\": \"25\", \"support\": 527, \"avg_response\": 870.7703984819734}, {\"age\": \"24\", \"support\": 302, \"avg_response\": 914.5298013245033}, {\"age\": \"23\", \"support\": 202, \"avg_response\": 1039.5}, {\"age\": \"61\", \"support\": 147, \"avg_response\": 2758.1428571428573}, {\"age\": \"22\", \"support\": 129, \"avg_response\": 935.6046511627907}, {\"age\": \"62\", \"support\": 80, \"avg_response\": 1848.7375}, {\"age\": \"21\", \"support\": 79, \"avg_response\": 866.7594936708861}, {\"age\": \"63\", \"support\": 77, \"avg_response\": 2523.8571428571427}, {\"age\": \"64\", \"support\": 74, \"avg_response\": 2345.945945945946}, {\"age\": \"70\", \"support\": 67, \"avg_response\": 3395.194029850746}, {\"age\": \"66\", \"support\": 63, \"avg_response\": 1963.7936507936508}, {\"age\": \"65\", \"support\": 59, \"avg_response\": 2396.3898305084745}, {\"age\": \"71\", \"support\": 54, \"avg_response\": 3462.4074074074074}, {\"age\": \"67\", \"support\": 54, \"avg_response\": 2294.703703703704}, {\"age\": \"72\", \"support\": 52, \"avg_response\": 2541.0576923076924}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 24.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a124fb2ffbb3990b25e68ac3f4c8a9dfe55dfb5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.012564+00:00", + "ended_at": "2026-05-19T16:32:32.038088+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_6ef49dcdcdc3a88c", + "problem_id": "v2p_m8_2473549bb1c81b63", + "dataset_id": "m8", + "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=balance, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "balance", + "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=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_f/m8/sql/v2q_m8_6ef49dcdcdc3a88c.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_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6ef49dcdcdc3a88c/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_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..770855cd6c83c25d2722c6e35ac9281c6ab1097a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "unknown", "support": 36959, "support_share": 0.8174780473778506, "support_rank": 1}, {"value_label": "failure", "support": 4901, "support_share": 0.10840282232200128, "support_rank": 2}, {"value_label": "other", "support": 1840, "support_share": 0.040698060206586895, "support_rank": 3}, {"value_label": "success", "support": 1511, "support_share": 0.0334210700935613, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..267c945523dd7c88e83335f2b35bf9604a246f8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_6efe17cc1029f71b +-- problem_id: v2p_m8_162fbae4b500a1e3 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "poutcome" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "poutcome" +) +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_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..389b99d33a8dd373a0dc8ee2a04bd61d0a0a4764 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/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_f\n-- sql_source_dataset_id: m8\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_m8_6efe17cc1029f71b\n-- problem_id: v2p_m8_162fbae4b500a1e3\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"poutcome\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"poutcome\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_6efe17cc1029f71b\\n-- problem_id: v2p_m8_162fbae4b500a1e3\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"poutcome\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"poutcome\\\"\\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\": \"unknown\", \"support\": 36959, \"support_share\": 0.8174780473778506, \"support_rank\": 1}, {\"value_label\": \"failure\", \"support\": 4901, \"support_share\": 0.10840282232200128, \"support_rank\": 2}, {\"value_label\": \"other\", \"support\": 1840, \"support_share\": 0.040698060206586895, \"support_rank\": 3}, {\"value_label\": \"success\", \"support\": 1511, \"support_share\": 0.0334210700935613, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e51c1bb4cbcd15a65ab2f519c000443f8427eb5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.996602+00:00", + "ended_at": "2026-05-19T16:32:32.012077+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_6efe17cc1029f71b", + "problem_id": "v2p_m8_162fbae4b500a1e3", + "dataset_id": "m8", + "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=poutcome.", + "bindings": { + "group_col": "poutcome" + }, + "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=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_f/m8/sql/v2q_m8_6efe17cc1029f71b.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_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6efe17cc1029f71b/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_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f55843b3e4b5c0257881ba48cbe027d1f766a52d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:31:50.214482+00:00", + "ended_at": "2026-05-19T16:31:58.379377+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_7196bfcdb25f1f26", + "problem_id": "v2p_m8_4b9ecd6b4e1bc50a", + "dataset_id": "m8", + "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=education, measure_col=pdays.", + "bindings": { + "group_col": "education", + "measure_col": "pdays", + "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": -1.0, + "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=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_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..81098677cb914f5655f67962348f89847f4dc397 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:31:53.719264+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": 3495.43, "started_at": "2026-05-19T16:31:50.221103+00:00", "ended_at": "2026-05-19T16:31:53.716587+00:00", "prompt_metrics": {"chars": 9041, "bytes_utf8": 9041, "lines": 300, "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\":\"019e4114-4f39-7e21-bd50-96f364aadbbc\"}\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": "2026-05-19T16:31:58.379233+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": 3656.53, "started_at": "2026-05-19T16:31:54.721322+00:00", "ended_at": "2026-05-19T16:31:58.377922+00:00", "prompt_metrics": {"chars": 9041, "bytes_utf8": 9041, "lines": 300, "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\":\"019e4114-60e3-72b3-9030-1ab363804f85\"}\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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2cfc61b971c0aae5564267594449930ecfe1a983 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/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": "2026-05-19T16:15:48.694213+00:00", + "ended_at": "2026-05-19T16:15:52.758981+00:00", + "elapsed_ms": 4064.74, + "returncode": 1, + "prompt_metrics": { + "chars": 9268, + "bytes_utf8": 9268, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..980c080b1e916d0ba93fec226d3aea89d5a75a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/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": "2026-05-19T16:15:53.761460+00:00", + "ended_at": "2026-05-19T16:15:58.706641+00:00", + "elapsed_ms": 4945.13, + "returncode": 1, + "prompt_metrics": { + "chars": 9268, + "bytes_utf8": 9268, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2736bff2105197842d22319577cdb6055040ae4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=default, group_col_2=month.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "default", + "group_col_2": "month", + "predicate_col": "education", + "predicate_op": "=", + "predicate_value": "primary", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2736bff2105197842d22319577cdb6055040ae4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=default, group_col_2=month.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "default", + "group_col_2": "month", + "predicate_col": "education", + "predicate_op": "=", + "predicate_value": "primary", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2d3b3ddd407e7ac106e02398e411525a9b13a03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-a2d0-7552-9c3d-d9a7b0db1968"} +{"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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..805bb45707aea165015588a28823fa910825d9ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-a2d0-7552-9c3d-d9a7b0db1968"} +{"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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4de3ffa05f12b3cd3b6276443a4e268c1bba5ed9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-b6a4-7b71-9e70-4053de4368fe"} +{"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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce97b3966f3da59b87a0b5317d024fb99ee45dca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-b6a4-7b71-9e70-4053de4368fe"} +{"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_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7399d8163eec62e0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..97489fda86cb52bc6b400c23e3c1ed373b5e83e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/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": "2026-05-19T16:22:34.209858+00:00", + "ended_at": "2026-05-19T16:22:37.244333+00:00", + "elapsed_ms": 3034.44, + "returncode": 1, + "prompt_metrics": { + "chars": 9128, + "bytes_utf8": 9128, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e6dec02ecea273032ffc1dc4a489ba7f38a3d533 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/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": "2026-05-19T16:22:38.247073+00:00", + "ended_at": "2026-05-19T16:22:41.990954+00:00", + "elapsed_ms": 3743.83, + "returncode": 1, + "prompt_metrics": { + "chars": 9128, + "bytes_utf8": 9128, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b73ab625eb0b4407b3661aa8eaeae1838be6e75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=age, measure_col=previous.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "age", + "measure_col": "previous", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b73ab625eb0b4407b3661aa8eaeae1838be6e75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=age, measure_col=previous.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "age", + "measure_col": "previous", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..78b95424e1315fbeda5a50dc7cc94031c4cc06e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-d37f-7c13-9196-8d6b1546ab3b"} +{"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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..626b3e54d52546f512d12cd440333435ea0e1ff4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-d37f-7c13-9196-8d6b1546ab3b"} +{"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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b259b07f7be9dd736af3a3ba65c6fc738323eb91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-e366-78c1-8136-f19c70138377"} +{"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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f46aa7b91fdf308dbd6489cf96d25e7c9924927f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-e366-78c1-8136-f19c70138377"} +{"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_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_73e21ad87c047e1a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..470012557733f2b63ae2336b06d8c995e0906435 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/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": "2026-05-19T16:23:23.097474+00:00", + "ended_at": "2026-05-19T16:23:28.541471+00:00", + "elapsed_ms": 5443.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9136, + "bytes_utf8": 9136, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..01d4636808b45c877db93138aa553b991d21451a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/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": "2026-05-19T16:23:29.544792+00:00", + "ended_at": "2026-05-19T16:23:33.154924+00:00", + "elapsed_ms": 3610.07, + "returncode": 1, + "prompt_metrics": { + "chars": 9136, + "bytes_utf8": 9136, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe4ca097db7b441990c81535119980207d1cb2f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=marital, measure_col=balance.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "marital", + "measure_col": "balance", + "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": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe4ca097db7b441990c81535119980207d1cb2f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=marital, measure_col=balance.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "marital", + "measure_col": "balance", + "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": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..91a527b0a5ce36ac13033c5c64acee82a4f00b2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-9296-7af2-8201-69d6b903312d"} +{"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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cd967b5d8f1ac42000b7940a3368fbe3717a29b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-9296-7af2-8201-69d6b903312d"} +{"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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..13bf3b8c6286a15baf297fd46607bfc747bcb3e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-ab78-7210-983f-dd99c7f4fd93"} +{"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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af3ff98071182f7f8f53880dd751850f7efacb47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-ab78-7210-983f-dd99c7f4fd93"} +{"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_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74a2ab7c214c3f28/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..652e0dae21e6705798d770229d22393d6c514f00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/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": "2026-05-19T16:07:41.601569+00:00", + "ended_at": "2026-05-19T16:07:44.600703+00:00", + "elapsed_ms": 2999.1, + "returncode": 1, + "prompt_metrics": { + "chars": 8940, + "bytes_utf8": 8940, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..856eaf3a0238915302d583103fb8d341a739dcb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/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": "2026-05-19T16:07:45.602829+00:00", + "ended_at": "2026-05-19T16:07:49.050561+00:00", + "elapsed_ms": 3447.7, + "returncode": 1, + "prompt_metrics": { + "chars": 8940, + "bytes_utf8": 8940, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d4c24f5519e615b00e921271faa0054bd6c5b12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=age, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "age", + "measure_col": "age", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d4c24f5519e615b00e921271faa0054bd6c5b12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=age, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "age", + "measure_col": "age", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f13d72fc58a6b3dc0c8cc7a11d0f30b1862932f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-3437-7593-b364-4e0505cd6fa1"} +{"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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..697d3636d767711438e81ccf9ae3149e62790476 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-3437-7593-b364-4e0505cd6fa1"} +{"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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd7c7fbe4dd39c66948db2ff617d03acc2180db6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-43e4-7cf2-b495-2a3844bd9c25"} +{"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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..43a707db0e9a4ae86c2158f173dddf089cbdfc7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-43e4-7cf2-b495-2a3844bd9c25"} +{"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_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_74bba26d0af7ca4c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d7d754b3346bb103748f7679dbf1507be6879ca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:25:23.357938+00:00", + "ended_at": "2026-05-19T16:25:31.351611+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_759bd83efe3839bd", + "problem_id": "v2p_m8_338295b45732c0a0", + "dataset_id": "m8", + "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=pdays, condition_col=contact.", + "bindings": { + "group_col": "pdays", + "condition_col": "contact", + "condition_value": "cellular", + "positive_value": "cellular", + "negative_value": "unknown", + "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": 319.0, + "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=6", + "sql_variant_index=1/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_f/m8/artifacts/v2q_m8_759bd83efe3839bd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b2f291a7b88caddcd7f30e651b1fbb1028ac3a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:25:26.946167+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": 3581.63, "started_at": "2026-05-19T16:25:23.363051+00:00", "ended_at": "2026-05-19T16:25:26.944717+00:00", "prompt_metrics": {"chars": 9209, "bytes_utf8": 9209, "lines": 303, "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\":\"019e410e-681d-7162-84db-94c8f1bab541\"}\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": "2026-05-19T16:25:31.351481+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": 3401.8, "started_at": "2026-05-19T16:25:27.948389+00:00", "ended_at": "2026-05-19T16:25:31.350266+00:00", "prompt_metrics": {"chars": 9209, "bytes_utf8": 9209, "lines": 303, "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\":\"019e410e-7a09-7860-a660-30896697ad7d\"}\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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b7c0d9303c66b94b6faade7c013e18d051e09daa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/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": "2026-05-19T16:15:01.254231+00:00", + "ended_at": "2026-05-19T16:15:07.105646+00:00", + "elapsed_ms": 5851.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9271, + "bytes_utf8": 9271, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b4924b079f2c43f4c0e03c4c4fbbf641dbba16e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/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": "2026-05-19T16:15:08.107448+00:00", + "ended_at": "2026-05-19T16:15:11.101866+00:00", + "elapsed_ms": 2994.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9271, + "bytes_utf8": 9271, + "lines": 304, + "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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a77670afec581657009a11e395bd349c8ad3f9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=education, group_col_2=poutcome.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "education", + "group_col_2": "poutcome", + "predicate_col": "previous", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a77670afec581657009a11e395bd349c8ad3f9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,304 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=education, group_col_2=poutcome.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "education", + "group_col_2": "poutcome", + "predicate_col": "previous", + "predicate_op": ">=", + "predicate_value": 0.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1d263d6d52440eb505ef021a2905e92730a5566 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-e97e-7491-81d9-d222abaf2868"} +{"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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f8aaa1f61c80ee6c920529e831a3b6fc94e9bf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-e97e-7491-81d9-d222abaf2868"} +{"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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d582030f24251e60bbcae5a81ff14ca3f39fd1de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-046e-7ee1-bc81-dd1b6c5395e8"} +{"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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..834042f796d262e310eea7bef70016f4104bd4e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-046e-7ee1-bc81-dd1b6c5395e8"} +{"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_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_76bab0e916511ca4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cf351e2d13fb8825b944e6430b9d0db7829c5118 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:23:56.601040+00:00", + "ended_at": "2026-05-19T16:24:06.712446+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_7730775635165c0b", + "problem_id": "v2p_m8_5b4543fbc2f83db8", + "dataset_id": "m8", + "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=loan, condition_col=marital.", + "bindings": { + "group_col": "loan", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "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": -1.0, + "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=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_f/m8/artifacts/v2q_m8_7730775635165c0b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a56f409008fe8640287cf92e64cb877795715959 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:24:02.259292+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": 5651.88, "started_at": "2026-05-19T16:23:56.606312+00:00", "ended_at": "2026-05-19T16:24:02.258262+00:00", "prompt_metrics": {"chars": 9217, "bytes_utf8": 9217, "lines": 303, "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\":\"019e410d-152a-7420-849e-ac2be15ea087\"}\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": "2026-05-19T16:24:06.712258+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": 3449.64, "started_at": "2026-05-19T16:24:03.260931+00:00", "ended_at": "2026-05-19T16:24:06.710645+00:00", "prompt_metrics": {"chars": 9217, "bytes_utf8": 9217, "lines": 303, "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\":\"019e410d-2f48-7fe1-a28a-30a93ff069ba\"}\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_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aeef7fb6f1e1227f501405d16c6db0d61f4f386c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:11:24.178911+00:00", + "ended_at": "2026-05-19T16:11:32.409316+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_77fbb50ee85c0787", + "problem_id": "v2p_m8_5c4abe0bcbe0a865", + "dataset_id": "m8", + "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=campaign, measure_col=campaign.", + "bindings": { + "group_col": "campaign", + "measure_col": "campaign", + "item_col": "pdays", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=2", + "sql_variant_index=2/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "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_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..00c90790d2f1859d514b1c289c629f84a96d2e2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:28.702791+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": 4520.01, "started_at": "2026-05-19T16:11:24.182057+00:00", "ended_at": "2026-05-19T16:11:28.702094+00:00", "prompt_metrics": {"chars": 9368, "bytes_utf8": 9368, "lines": 302, "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\":\"019e4101-9990-77b3-ab94-60dfc149ec92\"}\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": "2026-05-19T16:11:32.409187+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": 2704.03, "started_at": "2026-05-19T16:11:29.704052+00:00", "ended_at": "2026-05-19T16:11:32.408114+00:00", "prompt_metrics": {"chars": 9368, "bytes_utf8": 9368, "lines": 302, "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-af4c-7233-bfd5-a8c0ec039862\"}\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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..861ffbd0e701cffb4ad21b4f8ffbdd8d942cd915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/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": "2026-05-19T16:18:00.956323+00:00", + "ended_at": "2026-05-19T16:18:04.397470+00:00", + "elapsed_ms": 3441.09, + "returncode": 1, + "prompt_metrics": { + "chars": 9517, + "bytes_utf8": 9517, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e75a35512035946d06e2bf161d374f10df7e3be3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/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": "2026-05-19T16:18:05.400278+00:00", + "ended_at": "2026-05-19T16:18:08.907749+00:00", + "elapsed_ms": 3507.43, + "returncode": 1, + "prompt_metrics": { + "chars": 9517, + "bytes_utf8": 9517, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe55c235b3804f5dfb700edc3d5eef6093722c41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=poutcome, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "poutcome", + "measure_col": "duration", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe55c235b3804f5dfb700edc3d5eef6093722c41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=poutcome, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "poutcome", + "measure_col": "duration", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 254.0, + "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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..df6799772bedb4a303f9c411a6b0a9ea16d9a8fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-a801-75f0-a8ec-c21fb87d2e78"} +{"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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..20a66056518cfee2c7c94f05c727432043b4beb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-a801-75f0-a8ec-c21fb87d2e78"} +{"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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..05f19f1c7b1bc3baf71908ec8ecc617c038ec237 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-b930-7100-a198-d5b2141c19da"} +{"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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f898b58868519fb20da78366062905ad472b1002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-b930-7100-a198-d5b2141c19da"} +{"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_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_78c1336c82f09506/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dfdd3ebf5f07ac9fbf74f0700949f3b4b524a17b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/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": "2026-05-19T16:11:32.412526+00:00", + "ended_at": "2026-05-19T16:11:35.847177+00:00", + "elapsed_ms": 3434.62, + "returncode": 1, + "prompt_metrics": { + "chars": 9358, + "bytes_utf8": 9358, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fa529973e706039a4515825a6089baa6ad6081c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/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": "2026-05-19T16:11:36.851394+00:00", + "ended_at": "2026-05-19T16:11:39.949145+00:00", + "elapsed_ms": 3097.71, + "returncode": 1, + "prompt_metrics": { + "chars": 9358, + "bytes_utf8": 9358, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c860e9235bf587641937d0871902f654ca213c23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=pdays, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "pdays", + "measure_col": "pdays", + "item_col": "previous", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c860e9235bf587641937d0871902f654ca213c23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=pdays, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "pdays", + "measure_col": "pdays", + "item_col": "previous", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b5a3123748957354eb9402cab4cd4a43de2eb5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-b9c0-7d20-82a6-e53a0954db6d"} +{"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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6901ec4231bd1d86923d90d0dbc56457d69e6f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-b9c0-7d20-82a6-e53a0954db6d"} +{"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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..504e6e96472cde1b7667bf0650fbe15802988055 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-cb64-7261-989f-507a1bb94031"} +{"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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..27ee07cc76919d842a17d5c98866d7255397c3eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-cb64-7261-989f-507a1bb94031"} +{"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_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7cf6767bcd3bcbfe/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5c5800d6a3a61608fe7b440a7b303f523263dd51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/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": "2026-05-19T16:25:48.716377+00:00", + "ended_at": "2026-05-19T16:25:52.136079+00:00", + "elapsed_ms": 3419.66, + "returncode": 1, + "prompt_metrics": { + "chars": 9224, + "bytes_utf8": 9224, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9690434641251c2f872b1f81315d538b0d0b216d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/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": "2026-05-19T16:25:53.138367+00:00", + "ended_at": "2026-05-19T16:25:56.842214+00:00", + "elapsed_ms": 3703.79, + "returncode": 1, + "prompt_metrics": { + "chars": 9224, + "bytes_utf8": 9224, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca538fb4a28e2e483ccf9723467984debd935c48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=previous, condition_col=poutcome.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "previous", + "condition_col": "poutcome", + "condition_value": "failure", + "positive_value": "unknown", + "negative_value": "failure", + "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": 3.0, + "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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca538fb4a28e2e483ccf9723467984debd935c48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=previous, condition_col=poutcome.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "previous", + "condition_col": "poutcome", + "condition_value": "failure", + "positive_value": "unknown", + "negative_value": "failure", + "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": 3.0, + "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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bc435dc215ce8681dd2031b71d25a251b1290cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-cb46-7170-a96a-fbedb7e3fd41"} +{"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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..637cc91e6c76e10cc7d3a944a325072b87e08726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-cb46-7170-a96a-fbedb7e3fd41"} +{"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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7018fccc77c7b9b72cd1146aa3817d842bbb5c43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-dc68-7291-a3f2-65dd73371c08"} +{"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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..535a4bbc93f7185737736e5cdbbbb21c1d03aa3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-dc68-7291-a3f2-65dd73371c08"} +{"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_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8195b819d59177f9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f48a45892d837e8fd942209d344de703d38a9a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/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": "2026-05-19T16:31:33.381350+00:00", + "ended_at": "2026-05-19T16:31:36.826585+00:00", + "elapsed_ms": 3445.19, + "returncode": 1, + "prompt_metrics": { + "chars": 9043, + "bytes_utf8": 9043, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a2c732246a1d86d8a6465d2ad299811edbccfe08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/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": "2026-05-19T16:31:37.829158+00:00", + "ended_at": "2026-05-19T16:31:41.238446+00:00", + "elapsed_ms": 3409.23, + "returncode": 1, + "prompt_metrics": { + "chars": 9043, + "bytes_utf8": 9043, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8741d1193a4c662624f2f5842ac9b1a2ba4d9dd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=marital, measure_col=campaign.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "marital", + "measure_col": "campaign", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8741d1193a4c662624f2f5842ac9b1a2ba4d9dd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=marital, measure_col=campaign.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "marital", + "measure_col": "campaign", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe553e436a501df11c56008472d0419fbfd28533 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-0d76-7610-89db-03ed5a18ab7e"} +{"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_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..40c89340ee17da9090307827183b9764118fea59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-0d76-7610-89db-03ed5a18ab7e"} +{"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_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9b99e88963b7cdd98464fe1b622043fa2f09706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-1ee6-7c13-ae54-15619402734b"} +{"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_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f2d3468f1cd693f1df9a5f2f78fa774eda36ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-1ee6-7c13-ae54-15619402734b"} +{"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_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_81f50ad9c2c31285/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7981190db9c183b43da30f02eead75b6c38e5ea1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:20:48.371194+00:00", + "ended_at": "2026-05-19T16:20:55.549696+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_834c653594b10aae", + "problem_id": "v2p_m8_883ae570d781a420", + "dataset_id": "m8", + "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=campaign, measure_col=balance.", + "bindings": { + "group_col": "campaign", + "measure_col": "balance", + "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": 1428.0, + "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=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", + "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_f/m8/artifacts/v2q_m8_834c653594b10aae/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c171234c8a67cf68ff5e2cc9fd51ffc2491b60c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:20:51.329442+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": 2954.37, "started_at": "2026-05-19T16:20:48.374084+00:00", "ended_at": "2026-05-19T16:20:51.328477+00:00", "prompt_metrics": {"chars": 9137, "bytes_utf8": 9137, "lines": 300, "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\":\"019e410a-3575-7fc0-8436-0e85da877adb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:20:55.549604+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": 3218.28, "started_at": "2026-05-19T16:20:52.330513+00:00", "ended_at": "2026-05-19T16:20:55.548828+00:00", "prompt_metrics": {"chars": 9137, "bytes_utf8": 9137, "lines": 300, "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\":\"019e410a-44fb-7b90-8b44-9a5215bf6ceb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9b635c8a297a97c7106126da8a1b499bf115a8de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/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": "2026-05-19T16:19:05.195878+00:00", + "ended_at": "2026-05-19T16:19:08.008896+00:00", + "elapsed_ms": 2812.99, + "returncode": 1, + "prompt_metrics": { + "chars": 9504, + "bytes_utf8": 9504, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..11c56f79c71c75c8504d18c8f31623728a6ffcee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/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": "2026-05-19T16:19:09.010931+00:00", + "ended_at": "2026-05-19T16:19:12.136330+00:00", + "elapsed_ms": 3125.36, + "returncode": 1, + "prompt_metrics": { + "chars": 9504, + "bytes_utf8": 9504, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c175bf70bb08a85d7a7d2cd45f65054383247a62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=marital, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "marital", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c175bf70bb08a85d7a7d2cd45f65054383247a62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=marital, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "marital", + "measure_col": "age", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..053fa9e95407d8bf90dc43130016aed9d5e1de4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-a287-7372-b3f5-01c5a8bbdad1"} +{"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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8980c8446ad85bf5ae32d5ef80dfe8d630e19876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-a287-7372-b3f5-01c5a8bbdad1"} +{"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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8896d6072e00f05f4fefdf7ee34922b7a077ce8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-b14c-7e72-8d6d-aa4947d60fb1"} +{"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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5ce215f180cc12acb99f0452e20f6bfae49154a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-b14c-7e72-8d6d-aa4947d60fb1"} +{"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_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_843fc2d0ca2f70cd/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..37ad4f53e5ffc454db75f23ee53c297400bd1930 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 36954, "support_share": 0.8173674548229414, "cumulative_support": 36954}, {"value_label": "1", "support": 2772, "support_share": 0.06131251244166243, "cumulative_support": 39726}, {"value_label": "2", "support": 2106, "support_share": 0.046581584127756516, "cumulative_support": 41832}, {"value_label": "3", "support": 1142, "support_share": 0.025259339541262082, "cumulative_support": 42974}, {"value_label": "4", "support": 714, "support_share": 0.015792616841034262, "cumulative_support": 43688}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c71b47ecb8cafa4141720c5ee17191d88727b063 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_88583717cbc58ea0 +-- problem_id: v2p_m8_f990a70e26be68b5 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "previous" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "previous" +), 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_f/m8/artifacts/v2q_m8_88583717cbc58ea0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..641e2c0552732ef755039041baf49c271b8ff4d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/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_f\n-- sql_source_dataset_id: m8\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_m8_88583717cbc58ea0\n-- problem_id: v2p_m8_f990a70e26be68b5\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"previous\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"previous\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_88583717cbc58ea0\\n-- problem_id: v2p_m8_f990a70e26be68b5\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"previous\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"previous\\\"\\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\": 36954, \"support_share\": 0.8173674548229414, \"cumulative_support\": 36954}, {\"value_label\": \"1\", \"support\": 2772, \"support_share\": 0.06131251244166243, \"cumulative_support\": 39726}, {\"value_label\": \"2\", \"support\": 2106, \"support_share\": 0.046581584127756516, \"cumulative_support\": 41832}, {\"value_label\": \"3\", \"support\": 1142, \"support_share\": 0.025259339541262082, \"cumulative_support\": 42974}, {\"value_label\": \"4\", \"support\": 714, \"support_share\": 0.015792616841034262, \"cumulative_support\": 43688}, {\"value_label\": \"5\", \"support\": 459, \"support_share\": 0.010152396540664882, \"cumulative_support\": 44147}, {\"value_label\": \"6\", \"support\": 277, \"support_share\": 0.006126827541969875, \"cumulative_support\": 44424}, {\"value_label\": \"7\", \"support\": 205, \"support_share\": 0.004534294751277344, \"cumulative_support\": 44629}, {\"value_label\": \"8\", \"support\": 129, \"support_share\": 0.002853287916657451, \"cumulative_support\": 44758}, {\"value_label\": \"9\", \"support\": 92, \"support_share\": 0.002034903010329345, \"cumulative_support\": 44850}, {\"value_label\": \"10\", \"support\": 67, \"support_share\": 0.001481940235783327, \"cumulative_support\": 44917}, {\"value_label\": \"11\", \"support\": 65, \"support_share\": 0.0014377032138196456, \"cumulative_support\": 44982}, {\"value_label\": \"12\", \"support\": 44, \"support_share\": 0.000973214483200991, \"cumulative_support\": 45026}, {\"value_label\": \"13\", \"support\": 38, \"support_share\": 0.0008405034173099467, \"cumulative_support\": 45064}, {\"value_label\": \"15\", \"support\": 20, \"support_share\": 0.00044237021963681403, \"cumulative_support\": 45084}, {\"value_label\": \"14\", \"support\": 19, \"support_share\": 0.00042025170865497336, \"cumulative_support\": 45103}, {\"value_label\": \"17\", \"support\": 15, \"support_share\": 0.0003317776647276105, \"cumulative_support\": 45118}, {\"value_label\": \"16\", \"support\": 13, \"support_share\": 0.00028754064276392913, \"cumulative_support\": 45131}, {\"value_label\": \"19\", \"support\": 11, \"support_share\": 0.00024330362080024774, \"cumulative_support\": 45142}, {\"value_label\": \"20\", \"support\": 8, \"support_share\": 0.00017694808785472562, \"cumulative_support\": 45150}, {\"value_label\": \"23\", \"support\": 8, \"support_share\": 0.00017694808785472562, \"cumulative_support\": 45158}, {\"value_label\": \"18\", \"support\": 6, \"support_share\": 0.0001327110658910442, \"cumulative_support\": 45164}, {\"value_label\": \"22\", \"support\": 6, \"support_share\": 0.0001327110658910442, \"cumulative_support\": 45170}, {\"value_label\": \"24\", \"support\": 5, \"support_share\": 0.00011059255490920351, \"cumulative_support\": 45175}, {\"value_label\": \"27\", \"support\": 5, \"support_share\": 0.00011059255490920351, \"cumulative_support\": 45180}, {\"value_label\": \"21\", \"support\": 4, \"support_share\": 8.847404392736281e-05, \"cumulative_support\": 45184}, {\"value_label\": \"25\", \"support\": 4, \"support_share\": 8.847404392736281e-05, \"cumulative_support\": 45188}, {\"value_label\": \"29\", \"support\": 4, \"support_share\": 8.847404392736281e-05, \"cumulative_support\": 45192}, {\"value_label\": \"30\", \"support\": 3, \"support_share\": 6.63555329455221e-05, \"cumulative_support\": 45195}, {\"value_label\": \"26\", \"support\": 2, \"support_share\": 4.4237021963681406e-05, \"cumulative_support\": 45197}, {\"value_label\": \"28\", \"support\": 2, \"support_share\": 4.4237021963681406e-05, \"cumulative_support\": 45199}, {\"value_label\": \"37\", \"support\": 2, \"support_share\": 4.4237021963681406e-05, \"cumulative_support\": 45201}, {\"value_label\": \"38\", \"support\": 2, \"support_share\": 4.4237021963681406e-05, \"cumulative_support\": 45203}, {\"value_label\": \"275\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45204}, {\"value_label\": \"32\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45205}, {\"value_label\": \"35\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45206}, {\"value_label\": \"40\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45207}, {\"value_label\": \"41\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45208}, {\"value_label\": \"51\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45209}, {\"value_label\": \"55\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45210}, {\"value_label\": \"58\", \"support\": 1, \"support_share\": 2.2118510981840703e-05, \"cumulative_support\": 45211}], \"row_count_returned\": 41, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.4}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fcbdbe8613a4789eb17a25bcc9383c9dca89ae47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.772586+00:00", + "ended_at": "2026-05-19T16:32:31.788232+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_88583717cbc58ea0", + "problem_id": "v2p_m8_f990a70e26be68b5", + "dataset_id": "m8", + "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=previous.", + "bindings": { + "group_col": "previous" + }, + "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=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_f/m8/sql/v2q_m8_88583717cbc58ea0.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_f/m8/artifacts/v2q_m8_88583717cbc58ea0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88583717cbc58ea0/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_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8891876a9dc78d4d5a0f195f0e2751c675214c0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:20:27.399676+00:00", + "ended_at": "2026-05-19T16:20:34.975410+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_8a9cf11469c87c98", + "problem_id": "v2p_m8_9d0875d277fcb00c", + "dataset_id": "m8", + "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=month, measure_col=age.", + "bindings": { + "group_col": "month", + "measure_col": "age", + "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": 48.0, + "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=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c49f37751b2b38bd54639054456bb3d5da3f8518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:20:30.696554+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": 3291.58, "started_at": "2026-05-19T16:20:27.403588+00:00", "ended_at": "2026-05-19T16:20:30.695203+00:00", "prompt_metrics": {"chars": 9123, "bytes_utf8": 9123, "lines": 300, "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\":\"019e4109-e39d-7433-b49b-e830b39d36bc\"}\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": "2026-05-19T16:20:34.975322+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": 3277.04, "started_at": "2026-05-19T16:20:31.697458+00:00", "ended_at": "2026-05-19T16:20:34.974529+00:00", "prompt_metrics": {"chars": 9123, "bytes_utf8": 9123, "lines": 300, "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\":\"019e4109-f463-7d92-9550-a9c2508c6159\"}\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_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..13caef2f4b999c4b49de7508462022e850ef253e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:28:39.799762+00:00", + "ended_at": "2026-05-19T16:28:47.625663+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_8da274b2140a2ef2", + "problem_id": "v2p_m8_06b0a8c2393e454a", + "dataset_id": "m8", + "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=education.", + "bindings": { + "group_col": "education", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=4", + "sql_variant_index=1/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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", + "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_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..922a386c11ab12766ba16f2c2d72bffc7daa61d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:28:43.362404+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": 3556.32, "started_at": "2026-05-19T16:28:39.805066+00:00", "ended_at": "2026-05-19T16:28:43.361429+00:00", "prompt_metrics": {"chars": 8950, "bytes_utf8": 8950, "lines": 298, "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\":\"019e4111-675d-7101-a845-a656471f427a\"}\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": "2026-05-19T16:28:47.625519+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": 3260.6, "started_at": "2026-05-19T16:28:44.363765+00:00", "ended_at": "2026-05-19T16:28:47.624429+00:00", "prompt_metrics": {"chars": 8950, "bytes_utf8": 8950, "lines": 298, "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\":\"019e4111-7948-7842-a553-5faad9ba80e9\"}\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_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a06a35c0dd86d6af48825be30d7a85a3a7325c77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:18:49.848722+00:00", + "ended_at": "2026-05-19T16:18:58.444632+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_8edc9e79c71abc8f", + "problem_id": "v2p_m8_9f675f57952c9ccf", + "dataset_id": "m8", + "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=job, measure_col=previous.", + "bindings": { + "group_col": "job", + "measure_col": "previous", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "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": "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", + "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_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3abc512df832b7fa8b4fe97a1cc1586e021234fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:18:52.703975+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": 2851.74, "started_at": "2026-05-19T16:18:49.851462+00:00", "ended_at": "2026-05-19T16:18:52.703231+00:00", "prompt_metrics": {"chars": 9506, "bytes_utf8": 9506, "lines": 300, "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\":\"019e4108-6681-70b0-a3bc-f9f0de7c5c5c\"}\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": "2026-05-19T16:18:58.444404+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": 4736.94, "started_at": "2026-05-19T16:18:53.705793+00:00", "ended_at": "2026-05-19T16:18:58.442784+00:00", "prompt_metrics": {"chars": 9506, "bytes_utf8": 9506, "lines": 300, "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\":\"019e4108-759a-7422-815e-32669dfa591e\"}\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_f/m8/artifacts/v2q_m8_8f175383c8a5198b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4083e18ecc08621749882e8983e691b81da5a323 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:27:44.019594+00:00", + "ended_at": "2026-05-19T16:27:51.930609+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_8f175383c8a5198b", + "problem_id": "v2p_m8_f8779fa3c3c0e8fa", + "dataset_id": "m8", + "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": "rare_extreme_view", + "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 rare_extreme_view. Focus on group_col=age.", + "bindings": { + "group_col": "age", + "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": 1428.0, + "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=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_f/m8/artifacts/v2q_m8_8f175383c8a5198b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d6c6068968683a0fbefeb3661f953349970cb166 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:27:47.600433+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": 3575.16, "started_at": "2026-05-19T16:27:44.024293+00:00", "ended_at": "2026-05-19T16:27:47.599497+00:00", "prompt_metrics": {"chars": 8941, "bytes_utf8": 8941, "lines": 298, "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\":\"019e4110-8d86-7181-9a2a-6e7cdf37201c\"}\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": "2026-05-19T16:27:51.930429+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": 3327.33, "started_at": "2026-05-19T16:27:48.601537+00:00", "ended_at": "2026-05-19T16:27:51.928921+00:00", "prompt_metrics": {"chars": 8941, "bytes_utf8": 8941, "lines": 298, "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\":\"019e4110-9f54-7603-ad6e-a11dac8990d3\"}\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_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..195804259dacf525453efedd54a44204086cb5cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/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": "2026-05-19T16:29:12.182591+00:00", + "ended_at": "2026-05-19T16:29:16.694338+00:00", + "elapsed_ms": 4511.69, + "returncode": 1, + "prompt_metrics": { + "chars": 8946, + "bytes_utf8": 8946, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ec4647cee457200d98de3f5e831c580788734be9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/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": "2026-05-19T16:29:17.696661+00:00", + "ended_at": "2026-05-19T16:29:20.941222+00:00", + "elapsed_ms": 3244.51, + "returncode": 1, + "prompt_metrics": { + "chars": 8946, + "bytes_utf8": 8946, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..991697709de40dffd48758ad29b76c746a43eab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=housing.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "housing", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..991697709de40dffd48758ad29b76c746a43eab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=housing.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "housing", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97afe45ce4db8849c0a10038254131a6d0c03e79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-e5f7-7d41-b166-bb030f71d77d"} +{"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_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..560e6dad9fc874cb3a7f6244bd395aa7fa9033fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-e5f7-7d41-b166-bb030f71d77d"} +{"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_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8c4e294a6e3a1571f2abc62896e2396798d10fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-fb66-7960-9093-753a432e000d"} +{"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_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7db0a8c44adf16c22f9ace8e27a6d6284c74beff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-fb66-7960-9093-753a432e000d"} +{"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_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f806c4acf2020f6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..18829545e9e5438e27f3024b3103bfef20d5d27a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:14:21.743077+00:00", + "ended_at": "2026-05-19T16:14:29.656642+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_903eb93cea28e502", + "problem_id": "v2p_m8_3e6905af0185c399", + "dataset_id": "m8", + "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=campaign, condition_col=marital.", + "bindings": { + "group_col": "campaign", + "condition_col": "marital", + "condition_value": "married", + "positive_value": "married", + "negative_value": "single", + "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": -1.0, + "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", + "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_f/m8/artifacts/v2q_m8_903eb93cea28e502/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9042cd5ba32e147779bb02abb03689023ca7e4f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:25.119567+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": 3372.49, "started_at": "2026-05-19T16:14:21.746119+00:00", "ended_at": "2026-05-19T16:14:25.118641+00:00", "prompt_metrics": {"chars": 9781, "bytes_utf8": 9781, "lines": 303, "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\":\"019e4104-4f2f-75a2-b03b-d16fbec8b927\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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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_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..754c751bee7b3bca73943b2b66ff062437f9e45a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:13:50.196558+00:00", + "ended_at": "2026-05-19T16:13:57.460252+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_908e3ba7686b5b61", + "problem_id": "v2p_m8_88e25e46e4651c33", + "dataset_id": "m8", + "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=loan, condition_col=loan.", + "bindings": { + "group_col": "loan", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 1428.0, + "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=1", + "sql_variant_index=1/1", + "binding_index=36" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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", + "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_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..999aede834161bef3a5dabf52d504eedf4bed88b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:53.228535+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": 3028.38, "started_at": "2026-05-19T16:13:50.199391+00:00", "ended_at": "2026-05-19T16:13:53.227798+00:00", "prompt_metrics": {"chars": 9756, "bytes_utf8": 9756, "lines": 303, "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\":\"019e4103-d3f5-7493-94ad-bf5f27aa7aa9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:13:57.460160+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": 3229.97, "started_at": "2026-05-19T16:13:54.229423+00:00", "ended_at": "2026-05-19T16:13:57.459420+00:00", "prompt_metrics": {"chars": 9756, "bytes_utf8": 9756, "lines": 303, "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\":\"019e4103-e3bb-7be1-b85c-03195b847f87\"}\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_f/m8/artifacts/v2q_m8_9197b6b240add6c5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..33b0a6a8f98f533a047dbcb19745791e308b7b4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:12:28.007936+00:00", + "ended_at": "2026-05-19T16:12:35.292527+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_9197b6b240add6c5", + "problem_id": "v2p_m8_149cc329d2dad185", + "dataset_id": "m8", + "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=y, measure_col=balance.", + "bindings": { + "group_col": "y", + "measure_col": "balance", + "item_col": "day", + "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": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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", + "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_f/m8/artifacts/v2q_m8_9197b6b240add6c5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c523b68d369b2e343472adafa100837e952612b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:31.459266+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": 3446.76, "started_at": "2026-05-19T16:12:28.011447+00:00", "ended_at": "2026-05-19T16:12:31.458234+00:00", "prompt_metrics": {"chars": 9352, "bytes_utf8": 9352, "lines": 302, "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\":\"019e4102-931a-76e0-bb36-1c3c4ed8d61d\"}\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": "2026-05-19T16:12:35.292429+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": 2830.3, "started_at": "2026-05-19T16:12:32.461106+00:00", "ended_at": "2026-05-19T16:12:35.291457+00:00", "prompt_metrics": {"chars": 9352, "bytes_utf8": 9352, "lines": 302, "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-a466-7f72-ae05-ee932ad7a1ea\"}\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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dec8d3a5ab8cb5cf35e415894d45a5275960f59f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/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": "2026-05-19T16:24:39.471959+00:00", + "ended_at": "2026-05-19T16:24:44.480565+00:00", + "elapsed_ms": 5008.52, + "returncode": 1, + "prompt_metrics": { + "chars": 9200, + "bytes_utf8": 9200, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be3b6c06100d49f5a96d6ecac2c867f8cdebee27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/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": "2026-05-19T16:24:45.483470+00:00", + "ended_at": "2026-05-19T16:24:48.915385+00:00", + "elapsed_ms": 3431.85, + "returncode": 1, + "prompt_metrics": { + "chars": 9200, + "bytes_utf8": 9200, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..efd183258197604b51d788bc8930a5ec3a2981f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=day, condition_col=default.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "day", + "condition_col": "default", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..efd183258197604b51d788bc8930a5ec3a2981f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=day, condition_col=default.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "day", + "condition_col": "default", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..76d1b3593616c74d5661960907b256d873f5cbe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-bccd-7262-b05e-7bb94424234b"} +{"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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e872215ead9d6f994ffaf4b63befd4837a69b53e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-bccd-7262-b05e-7bb94424234b"} +{"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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26dc93eecd355fba47b556f5f0cda79f5c80cf32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-d41a-7833-a84d-792f8946541f"} +{"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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..94fcfaffc1e3ef3b2fba40daf6e7f2258aba5d63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-d41a-7833-a84d-792f8946541f"} +{"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_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_924d2c8e2712e9e9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f31723c1802b25df641e5495c15dc63e94d03490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"day": "20", "support": 2752, "avg_response": 233.7485465116279}, {"day": "18", "support": 2308, "avg_response": 243.13648180242635}, {"day": "21", "support": 2026, "avg_response": 260.70483711747283}, {"day": "17", "support": 1939, "avg_response": 275.6766374419804}, {"day": "6", "support": 1932, "avg_response": 261.29813664596276}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1e06b91e08ef12d7c71bb711df094fda4b23f62f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_93e7ee77e883410e +-- problem_id: v2p_m8_3a23f1be4aaf0b43 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "day", + COUNT(*) AS support, + AVG("duration") AS avg_response +FROM "m8" +GROUP BY "day" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4328eb340ab97ad187c02a81fea4b10ccf04c332 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/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_f\n-- sql_source_dataset_id: m8\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_m8_93e7ee77e883410e\n-- problem_id: v2p_m8_3a23f1be4aaf0b43\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"day\",\n COUNT(*) AS support,\n AVG(\"duration\") AS avg_response\nFROM \"m8\"\nGROUP BY \"day\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_93e7ee77e883410e\\n-- problem_id: v2p_m8_3a23f1be4aaf0b43\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"day\\\",\\n COUNT(*) AS support,\\n AVG(\\\"duration\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"day\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"day\", \"support\", \"avg_response\"], \"rows\": [{\"day\": \"20\", \"support\": 2752, \"avg_response\": 233.7485465116279}, {\"day\": \"18\", \"support\": 2308, \"avg_response\": 243.13648180242635}, {\"day\": \"21\", \"support\": 2026, \"avg_response\": 260.70483711747283}, {\"day\": \"17\", \"support\": 1939, \"avg_response\": 275.6766374419804}, {\"day\": \"6\", \"support\": 1932, \"avg_response\": 261.29813664596276}, {\"day\": \"5\", \"support\": 1910, \"avg_response\": 270.0303664921466}, {\"day\": \"14\", \"support\": 1848, \"avg_response\": 265.8262987012987}, {\"day\": \"8\", \"support\": 1842, \"avg_response\": 253.84364820846906}, {\"day\": \"28\", \"support\": 1830, \"avg_response\": 225.71475409836066}, {\"day\": \"7\", \"support\": 1817, \"avg_response\": 270.16345624656026}, {\"day\": \"19\", \"support\": 1757, \"avg_response\": 262.54923164484916}, {\"day\": \"29\", \"support\": 1745, \"avg_response\": 242.13065902578796}, {\"day\": \"15\", \"support\": 1703, \"avg_response\": 274.2877275396359}, {\"day\": \"12\", \"support\": 1603, \"avg_response\": 268.12227074235807}, {\"day\": \"13\", \"support\": 1585, \"avg_response\": 274.8006309148265}, {\"day\": \"30\", \"support\": 1566, \"avg_response\": 276.92911877394636}, {\"day\": \"9\", \"support\": 1561, \"avg_response\": 249.1467008327995}, {\"day\": \"11\", \"support\": 1479, \"avg_response\": 255.79716024340772}, {\"day\": \"4\", \"support\": 1445, \"avg_response\": 261.32387543252594}, {\"day\": \"16\", \"support\": 1415, \"avg_response\": 296.43745583038867}, {\"day\": \"2\", \"support\": 1293, \"avg_response\": 248.63959783449343}, {\"day\": \"27\", \"support\": 1121, \"avg_response\": 227.14808206958074}, {\"day\": \"3\", \"support\": 1079, \"avg_response\": 273.90361445783134}, {\"day\": \"26\", \"support\": 1035, \"avg_response\": 237.30531400966183}, {\"day\": \"23\", \"support\": 939, \"avg_response\": 272.8871139510117}, {\"day\": \"22\", \"support\": 905, \"avg_response\": 265.2475138121547}, {\"day\": \"25\", \"support\": 840, \"avg_response\": 251.04404761904763}, {\"day\": \"31\", \"support\": 643, \"avg_response\": 181.02954898911352}, {\"day\": \"10\", \"support\": 524, \"avg_response\": 286.26145038167937}, {\"day\": \"24\", \"support\": 447, \"avg_response\": 281.07158836689035}, {\"day\": \"1\", \"support\": 322, \"avg_response\": 281.16149068322983}], \"row_count_returned\": 31, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ebd41d2be3dbe5f1ead3e6a42dd667825dfdd2f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.115391+00:00", + "ended_at": "2026-05-19T16:32:32.133935+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_93e7ee77e883410e", + "problem_id": "v2p_m8_3a23f1be4aaf0b43", + "dataset_id": "m8", + "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=duration, key_col=day.", + "bindings": { + "key_col": "day", + "measure_col": "duration", + "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=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_f/m8/sql/v2q_m8_93e7ee77e883410e.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_f/m8/artifacts/v2q_m8_93e7ee77e883410e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_93e7ee77e883410e/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_f/m8/artifacts/v2q_m8_95073f3f437b8b90/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a481849cc5bdab6da3d7ad3717ceadbdf22da1b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:32:17.476653+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": 3457.64, "started_at": "2026-05-19T16:32:14.017962+00:00", "ended_at": "2026-05-19T16:32:17.475678+00:00", "prompt_metrics": {"chars": 9034, "bytes_utf8": 9034, "lines": 300, "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\":\"019e4114-ac41-7f11-90ce-75762f2bc0e1\"}\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": "2026-05-19T16:32:22.029299+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": 3550.38, "started_at": "2026-05-19T16:32:18.477927+00:00", "ended_at": "2026-05-19T16:32:22.028347+00:00", "prompt_metrics": {"chars": 9034, "bytes_utf8": 9034, "lines": 300, "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\":\"019e4114-bd7b-7be0-b665-d24306f04a9d\"}\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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f9d5b6318eed79b17a0e0a2a85f2fb7c5735d74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/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": "2026-05-19T16:08:26.109535+00:00", + "ended_at": "2026-05-19T16:08:29.679355+00:00", + "elapsed_ms": 3569.79, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f94dca656c72b42a8f4e097197d773cb78edc90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/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": "2026-05-19T16:08:30.681716+00:00", + "ended_at": "2026-05-19T16:08:33.865243+00:00", + "elapsed_ms": 3183.49, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9796d5cc6df379e056839844dabdc66ab95d6d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=marital, measure_col=day.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "marital", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9796d5cc6df379e056839844dabdc66ab95d6d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=marital, measure_col=day.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "marital", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e7e02e936394204466a26db713caf388208fc24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-e1f5-7a80-a840-985e8a9a71c0"} +{"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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..affa526d3174a8894238b2ebd5ffd3559e848a79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-e1f5-7a80-a840-985e8a9a71c0"} +{"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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1a6a8876adb42f36f96046c068cb815ef7b1f59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f3e5-7880-9ad7-2c31fa27e89c"} +{"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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c581102f19f5ffc38c4c6977d152b07cae9dcd64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f3e5-7880-9ad7-2c31fa27e89c"} +{"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_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_950d51d73cac5471/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ae81ef327c0e4a51f47f56b3477d1640accf07a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:24:58.696704+00:00", + "ended_at": "2026-05-19T16:25:06.563376+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_95a71961e4d49617", + "problem_id": "v2p_m8_19110f8cc18f00d4", + "dataset_id": "m8", + "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=month, condition_col=housing.", + "bindings": { + "group_col": "month", + "condition_col": "housing", + "condition_value": "no", + "positive_value": "yes", + "negative_value": "no", + "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": 1428.0, + "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", + "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_f/m8/artifacts/v2q_m8_95a71961e4d49617/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8fdd34f78bd5b68dd39bcb8ee6de340a7d96de7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:25:02.183222+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": 3480.05, "started_at": "2026-05-19T16:24:58.701821+00:00", "ended_at": "2026-05-19T16:25:02.181915+00:00", "prompt_metrics": {"chars": 9201, "bytes_utf8": 9201, "lines": 303, "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\":\"019e410e-07e5-7491-90fd-5a30ff282da2\"}\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": "2026-05-19T16:25:06.563259+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": 3376.62, "started_at": "2026-05-19T16:25:03.185494+00:00", "ended_at": "2026-05-19T16:25:06.562180+00:00", "prompt_metrics": {"chars": 9201, "bytes_utf8": 9201, "lines": 303, "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\":\"019e410e-1947-7390-bc08-4608dd267140\"}\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_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a5cb4b7dc538d74b3f95e50c902a9d3e28473f3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:19:46.130954+00:00", + "ended_at": "2026-05-19T16:19:54.003278+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_95cb000e088bfc5e", + "problem_id": "v2p_m8_0b55b48bef8b4133", + "dataset_id": "m8", + "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": "count_distribution", + "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 count_distribution. Focus on group_col=housing, measure_col=duration.", + "bindings": { + "group_col": "housing", + "measure_col": "duration", + "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": 319.0, + "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": "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=1/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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", + "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_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74764f6b4b9bbc2b1c2ba02b9d201efbddbd4c39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:19:49.873817+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": 3737.82, "started_at": "2026-05-19T16:19:46.135194+00:00", "ended_at": "2026-05-19T16:19:49.873059+00:00", "prompt_metrics": {"chars": 9513, "bytes_utf8": 9513, "lines": 300, "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\":\"019e4109-428b-7030-9c52-becdeed1de30\"}\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": "2026-05-19T16:19:54.003191+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": 3127.45, "started_at": "2026-05-19T16:19:50.874970+00:00", "ended_at": "2026-05-19T16:19:54.002489+00:00", "prompt_metrics": {"chars": 9513, "bytes_utf8": 9513, "lines": 300, "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\":\"019e4109-54ed-7fe0-ac37-275cccf09421\"}\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_f/m8/artifacts/v2q_m8_99cb863cc37f073c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8fce6aaa8d3720755ada452f2c5b2011d7f1745e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:31:25.355779+00:00", + "ended_at": "2026-05-19T16:31:33.374949+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_99cb863cc37f073c", + "problem_id": "v2p_m8_92ce520d10c10e68", + "dataset_id": "m8", + "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": "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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=marital, measure_col=campaign.", + "bindings": { + "group_col": "marital", + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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_f/m8/artifacts/v2q_m8_99cb863cc37f073c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..61c96d5c2e4ade1556b2212583355b57cf5a0c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:31:28.936014+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": 3574.64, "started_at": "2026-05-19T16:31:25.360477+00:00", "ended_at": "2026-05-19T16:31:28.935157+00:00", "prompt_metrics": {"chars": 9038, "bytes_utf8": 9038, "lines": 300, "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\":\"019e4113-ee40-7010-a0d5-24a5825bd9f3\"}\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": "2026-05-19T16:31:33.374784+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": 3436.26, "started_at": "2026-05-19T16:31:29.937194+00:00", "ended_at": "2026-05-19T16:31:33.373509+00:00", "prompt_metrics": {"chars": 9038, "bytes_utf8": 9038, "lines": 300, "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\":\"019e4114-0014-7730-8eeb-c83f56788e86\"}\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_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f81b1fd37d6a0dc04477da5a498afc5d10575e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"day": "20", "support": 2752, "avg_response": 40.6188226744186}, {"day": "18", "support": 2308, "avg_response": 39.997833622183705}, {"day": "21", "support": 2026, "avg_response": 39.56959526159921}, {"day": "17", "support": 1939, "avg_response": 42.289324394017534}, {"day": "6", "support": 1932, "avg_response": 41.37991718426501}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..60e5e3510db53ca79e0c34ff78664f509ab10580 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_99f66ed5d551e9a9 +-- problem_id: v2p_m8_13530ea7c2b71169 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "day", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m8" +GROUP BY "day" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f20835cb8626d1d523bc832bafa66695dfaf8ee3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/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_f\n-- sql_source_dataset_id: m8\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_m8_99f66ed5d551e9a9\n-- problem_id: v2p_m8_13530ea7c2b71169\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"day\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m8\"\nGROUP BY \"day\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_99f66ed5d551e9a9\\n-- problem_id: v2p_m8_13530ea7c2b71169\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"day\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"day\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"day\", \"support\", \"avg_response\"], \"rows\": [{\"day\": \"20\", \"support\": 2752, \"avg_response\": 40.6188226744186}, {\"day\": \"18\", \"support\": 2308, \"avg_response\": 39.997833622183705}, {\"day\": \"21\", \"support\": 2026, \"avg_response\": 39.56959526159921}, {\"day\": \"17\", \"support\": 1939, \"avg_response\": 42.289324394017534}, {\"day\": \"6\", \"support\": 1932, \"avg_response\": 41.37991718426501}, {\"day\": \"5\", \"support\": 1910, \"avg_response\": 41.89109947643979}, {\"day\": \"14\", \"support\": 1848, \"avg_response\": 41.49512987012987}, {\"day\": \"8\", \"support\": 1842, \"avg_response\": 40.561346362649296}, {\"day\": \"28\", \"support\": 1830, \"avg_response\": 40.12841530054645}, {\"day\": \"7\", \"support\": 1817, \"avg_response\": 40.900935608145296}, {\"day\": \"19\", \"support\": 1757, \"avg_response\": 42.50426863972681}, {\"day\": \"29\", \"support\": 1745, \"avg_response\": 40.9432664756447}, {\"day\": \"15\", \"support\": 1703, \"avg_response\": 40.853787433940106}, {\"day\": \"12\", \"support\": 1603, \"avg_response\": 41.39301310043668}, {\"day\": \"13\", \"support\": 1585, \"avg_response\": 41.01198738170347}, {\"day\": \"30\", \"support\": 1566, \"avg_response\": 41.11941251596424}, {\"day\": \"9\", \"support\": 1561, \"avg_response\": 40.946188340807176}, {\"day\": \"11\", \"support\": 1479, \"avg_response\": 42.33130493576741}, {\"day\": \"4\", \"support\": 1445, \"avg_response\": 39.734948096885816}, {\"day\": \"16\", \"support\": 1415, \"avg_response\": 40.96890459363958}, {\"day\": \"2\", \"support\": 1293, \"avg_response\": 40.20030935808198}, {\"day\": \"27\", \"support\": 1121, \"avg_response\": 39.930419268510256}, {\"day\": \"3\", \"support\": 1079, \"avg_response\": 40.08248378127896}, {\"day\": \"26\", \"support\": 1035, \"avg_response\": 40.29468599033817}, {\"day\": \"23\", \"support\": 939, \"avg_response\": 38.749733759318424}, {\"day\": \"22\", \"support\": 905, \"avg_response\": 41.520441988950274}, {\"day\": \"25\", \"support\": 840, \"avg_response\": 41.10357142857143}, {\"day\": \"31\", \"support\": 643, \"avg_response\": 43.03888024883359}, {\"day\": \"10\", \"support\": 524, \"avg_response\": 41.784351145038165}, {\"day\": \"24\", \"support\": 447, \"avg_response\": 41.257270693512304}, {\"day\": \"1\", \"support\": 322, \"avg_response\": 42.97204968944099}], \"row_count_returned\": 31, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3a5e7980a150fe63fd4851691753838837745fc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.096764+00:00", + "ended_at": "2026-05-19T16:32:32.114899+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_99f66ed5d551e9a9", + "problem_id": "v2p_m8_13530ea7c2b71169", + "dataset_id": "m8", + "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=age, key_col=day.", + "bindings": { + "key_col": "day", + "measure_col": "age", + "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_f/m8/sql/v2q_m8_99f66ed5d551e9a9.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_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99f66ed5d551e9a9/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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b536a80a31fd7560ba203decd5c0f085ae104309 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/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": "2026-05-19T16:25:16.153692+00:00", + "ended_at": "2026-05-19T16:25:19.286897+00:00", + "elapsed_ms": 3133.16, + "returncode": 1, + "prompt_metrics": { + "chars": 9204, + "bytes_utf8": 9204, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4db7fca2aaaa9baa33155e407da407b2b1e19ebb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/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": "2026-05-19T16:25:20.290301+00:00", + "ended_at": "2026-05-19T16:25:23.356250+00:00", + "elapsed_ms": 3065.88, + "returncode": 1, + "prompt_metrics": { + "chars": 9204, + "bytes_utf8": 9204, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5853d1ffddd720fef3feb981c92b1bf51090801c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=campaign, condition_col=loan.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "campaign", + "condition_col": "loan", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5853d1ffddd720fef3feb981c92b1bf51090801c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=campaign, condition_col=loan.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "campaign", + "condition_col": "loan", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..546cc7e4b3c65e79939fb07d2be0ee2f3c4e2546 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-4bec-71c0-b98b-cb735774a949"} +{"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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4324ec6bc6267ad84dfdc40741d45cc450510103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-4bec-71c0-b98b-cb735774a949"} +{"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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3d0b3a848443bb5fca5ed234af88a878a295417 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-5c30-7743-bf51-41c67750582d"} +{"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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..324e1900d789dc81ca41c573c6d0b510700d0cb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-5c30-7743-bf51-41c67750582d"} +{"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_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9a5c87d4735ec104/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a8603f3c13e6aa045dcd1b0058e614e6e5f3c4be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:24:30.982070+00:00", + "ended_at": "2026-05-19T16:24:39.464168+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_9bea6397a70848da", + "problem_id": "v2p_m8_14a37bc02aac7731", + "dataset_id": "m8", + "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=day, condition_col=default.", + "bindings": { + "group_col": "day", + "condition_col": "default", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 48.0, + "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", + "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_f/m8/artifacts/v2q_m8_9bea6397a70848da/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..579efd95646919766a63c2a386b679250800faca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:24:34.962650+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": 3972.53, "started_at": "2026-05-19T16:24:30.988147+00:00", "ended_at": "2026-05-19T16:24:34.960745+00:00", "prompt_metrics": {"chars": 9202, "bytes_utf8": 9202, "lines": 303, "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\":\"019e410d-9bba-7c02-959a-b4875dc27357\"}\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": "2026-05-19T16:24:39.463906+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": 3497.76, "started_at": "2026-05-19T16:24:35.964117+00:00", "ended_at": "2026-05-19T16:24:39.461937+00:00", "prompt_metrics": {"chars": 9202, "bytes_utf8": 9202, "lines": 303, "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\":\"019e410d-aefb-7a52-8ed1-dae1e09e722a\"}\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_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..26ac7fb1458b9fdf197d254bd4f6db503e365856 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/run_manifest.json @@ -0,0 +1,73 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:15:11.103036+00:00", + "ended_at": "2026-05-19T16:15:18.497169+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_9cf8fe071bca3be5", + "problem_id": "v2p_m8_564f9198e065d1e0", + "dataset_id": "m8", + "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=education, group_col_2=y.", + "bindings": { + "group_col": "education", + "group_col_2": "y", + "predicate_col": "poutcome", + "predicate_op": "=", + "predicate_value": "failure", + "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": 48.0, + "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=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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", + "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_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e92ec36e546481e7c91d6d20245367bb69f7278 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:14.191918+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": 3085.52, "started_at": "2026-05-19T16:15:11.105679+00:00", "ended_at": "2026-05-19T16:15:14.191221+00:00", "prompt_metrics": {"chars": 9262, "bytes_utf8": 9262, "lines": 304, "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\":\"019e4105-0ff8-7da0-b7e2-37e75ba47576\"}\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": "2026-05-19T16:15:18.497080+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": 3302.53, "started_at": "2026-05-19T16:15:15.193731+00:00", "ended_at": "2026-05-19T16:15:18.496310+00:00", "prompt_metrics": {"chars": 9262, "bytes_utf8": 9262, "lines": 304, "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\":\"019e4105-1ff6-71a3-8231-ab992fb93681\"}\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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1b13cc2edde9146d693e139280537fb2d21fb86b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/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": "2026-05-19T16:21:02.408651+00:00", + "ended_at": "2026-05-19T16:21:05.789818+00:00", + "elapsed_ms": 3381.14, + "returncode": 1, + "prompt_metrics": { + "chars": 9123, + "bytes_utf8": 9123, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84cef64b479cac3b8d90d1958fb70f5475df342b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/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": "2026-05-19T16:21:06.792517+00:00", + "ended_at": "2026-05-19T16:21:12.142349+00:00", + "elapsed_ms": 5349.78, + "returncode": 1, + "prompt_metrics": { + "chars": 9123, + "bytes_utf8": 9123, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24dad635c298cb6d18c6b7dc4ffd8e7dfcd898bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=pdays, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "pdays", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..24dad635c298cb6d18c6b7dc4ffd8e7dfcd898bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=pdays, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "pdays", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d196097a439042e373f2bf90d9266cf3c4935f05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-6c4a-7023-b030-f183c24a02b3"} +{"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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0c5c9c547bb7cb796f97273199b027cda5b9939 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-6c4a-7023-b030-f183c24a02b3"} +{"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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bae7b16ef5afbe90afa6910098077bad0cb00c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-7d75-75b0-869c-4bb18338feb7"} +{"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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5dac5519c5a56bf7ee4a8b9e168502070be66cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-7d75-75b0-869c-4bb18338feb7"} +{"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_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9f479c334ba374c4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96d2f650279521a8ced16c9c2b4c1b99bcd44ed0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/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": "2026-05-19T16:20:04.465644+00:00", + "ended_at": "2026-05-19T16:20:07.615872+00:00", + "elapsed_ms": 3150.2, + "returncode": 1, + "prompt_metrics": { + "chars": 9506, + "bytes_utf8": 9506, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c2edd0b3eb681aa56e1ab55130ea9a0f925c4b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/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": "2026-05-19T16:20:08.618086+00:00", + "ended_at": "2026-05-19T16:20:11.301240+00:00", + "elapsed_ms": 2683.1, + "returncode": 1, + "prompt_metrics": { + "chars": 9506, + "bytes_utf8": 9506, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..99c5ab6532f38fd332604612ab924b611c2fb10d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=loan, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "loan", + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..99c5ab6532f38fd332604612ab924b611c2fb10d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=loan, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "loan", + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..abd754bc94411d8aca587ccef583c01b445c775a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-89e4-7142-9317-d749072df089"} +{"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_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70ea5518b4264436705c3ce6852c10f2d54037de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-89e4-7142-9317-d749072df089"} +{"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_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b8b9bba55550127703cacde31a9efbd5ebd240f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-9a2a-7222-b677-1fb1e9b811a8"} +{"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_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe75e5c14682ab3b61d7622c6c6f2efebe309869 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-9a2a-7222-b677-1fb1e9b811a8"} +{"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_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9fcc14445ceaa0a2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..996df4612af4ab58a2602bd670dc9473d2f9fb64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/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": "2026-05-19T16:24:22.408300+00:00", + "ended_at": "2026-05-19T16:24:26.758162+00:00", + "elapsed_ms": 4349.81, + "returncode": 1, + "prompt_metrics": { + "chars": 9224, + "bytes_utf8": 9224, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..828dfc5817ae83ae96102e9a9ff3cc63063c2e2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/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": "2026-05-19T16:24:27.760952+00:00", + "ended_at": "2026-05-19T16:24:30.977962+00:00", + "elapsed_ms": 3216.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9224, + "bytes_utf8": 9224, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66accd8b70641d437cb65a87f34b7edf4872cf32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=contact, condition_col=education.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "contact", + "condition_col": "education", + "condition_value": "tertiary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66accd8b70641d437cb65a87f34b7edf4872cf32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=contact, condition_col=education.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "contact", + "condition_col": "education", + "condition_value": "tertiary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f2a30ea03b287c22d98742aeed41ada286f9680 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-79fa-7663-a32f-d04a1575b1e4"} +{"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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0996ddd649ea9182992aed1f2c4e24613e230478 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-79fa-7663-a32f-d04a1575b1e4"} +{"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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dee27ae79fada266b101774aab822a2b2b58a490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-8ef2-7292-b3c9-d451b06ca685"} +{"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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4185e6b094caff8824cd7d7ff076883eb9a1f011 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-8ef2-7292-b3c9-d451b06ca685"} +{"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_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a56ab0ee48afce1e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a98cdc4b1ea250545594250943976c470fee3a1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/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": "2026-05-19T16:21:59.963803+00:00", + "ended_at": "2026-05-19T16:22:07.120236+00:00", + "elapsed_ms": 7156.41, + "returncode": 1, + "prompt_metrics": { + "chars": 9117, + "bytes_utf8": 9117, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e85a157938a1831190bd725abb0488eb2e483634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/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": "2026-05-19T16:22:08.122410+00:00", + "ended_at": "2026-05-19T16:22:26.300324+00:00", + "elapsed_ms": 18177.85, + "returncode": 1, + "prompt_metrics": { + "chars": 9117, + "bytes_utf8": 9117, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9678552ecdeb502c2c48490ce87a5ea7886eba05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=y, measure_col=pdays.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "y", + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9678552ecdeb502c2c48490ce87a5ea7886eba05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=y, measure_col=pdays.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "y", + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e48dfc48ef43118f0e6d2db5bbd8b54f3d64da1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-4d12-7130-8ad7-c6660c00875e"} +{"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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c63d3c772633bb91752c6d98c5de95e90d938f03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-4d12-7130-8ad7-c6660c00875e"} +{"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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b57ece4cecf4773c30dd97cca18df977346a7a20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-6cfc-7fc0-9845-54d226468655"} +{"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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a673b0489bbaa93ec7fd6c23430ce47bebf741e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-6cfc-7fc0-9845-54d226468655"} +{"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_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5fd96ae62777eaa/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a1d68f7d95d74b7b0b8e3e73ab39aadc0c349332 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:12:50.218662+00:00", + "ended_at": "2026-05-19T16:12:58.156866+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_a655f15de8f21257", + "problem_id": "v2p_m8_8e5c03677f4c0c40", + "dataset_id": "m8", + "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=job, measure_col=duration.", + "bindings": { + "group_col": "job", + "measure_col": "duration", + "item_col": "campaign", + "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": 319.0, + "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=8", + "sql_variant_index=1/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_f/m8/artifacts/v2q_m8_a655f15de8f21257/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..760f8fe6dfaffe71e02e8f9b4aefc4f881de1a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:54.194838+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": 3972.26, "started_at": "2026-05-19T16:12:50.221587+00:00", "ended_at": "2026-05-19T16:12:54.193873+00:00", "prompt_metrics": {"chars": 9356, "bytes_utf8": 9356, "lines": 302, "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-e9a2-72c1-90f9-cebcde4570db\"}\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": "2026-05-19T16:12:58.156772+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": 2959.6, "started_at": "2026-05-19T16:12:55.196407+00:00", "ended_at": "2026-05-19T16:12:58.156049+00:00", "prompt_metrics": {"chars": 9356, "bytes_utf8": 9356, "lines": 302, "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-fd17-7010-aaa9-4de391f9666d\"}\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_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29dd2c6631d6da257dc32c75626d54bfc306c76d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:24:10.349718+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": 3629.93, "started_at": "2026-05-19T16:24:06.718293+00:00", "ended_at": "2026-05-19T16:24:10.348273+00:00", "prompt_metrics": {"chars": 9213, "bytes_utf8": 9213, "lines": 303, "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\":\"019e410d-3cd7-76e2-bf42-72d49d9ecb07\"}\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": "2026-05-19T16:24:14.370044+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": 3016.44, "started_at": "2026-05-19T16:24:11.352152+00:00", "ended_at": "2026-05-19T16:24:14.368666+00:00", "prompt_metrics": {"chars": 9213, "bytes_utf8": 9213, "lines": 303, "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\":\"019e410d-4f06-7d31-9b78-2fc1c7c50cbc\"}\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_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..14ad53d99ea175c61b9bc9609485287c37b63731 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:19:24.298931+00:00", + "ended_at": "2026-05-19T16:19:31.193316+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_a8a9b1c3f4904b63", + "problem_id": "v2p_m8_558a03306eaa56b4", + "dataset_id": "m8", + "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=education, measure_col=balance.", + "bindings": { + "group_col": "education", + "measure_col": "balance", + "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": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=2/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98ae6a9c52d977e2d592b834875d1b5bd6f78b46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:19:26.916055+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": 2613.3, "started_at": "2026-05-19T16:19:24.301960+00:00", "ended_at": "2026-05-19T16:19:26.915282+00:00", "prompt_metrics": {"chars": 9518, "bytes_utf8": 9518, "lines": 300, "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\":\"019e4108-ed03-75f0-a790-6b19c14f9f29\"}\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": "2026-05-19T16:19:31.193227+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": 3275.17, "started_at": "2026-05-19T16:19:27.917204+00:00", "ended_at": "2026-05-19T16:19:31.192418+00:00", "prompt_metrics": {"chars": 9518, "bytes_utf8": 9518, "lines": 300, "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\":\"019e4108-fb33-7ad0-9fcc-d64a524d07a7\"}\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_f/m8/artifacts/v2q_m8_a8d422e63eed3168/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4db8387ccdd40f3b652c9cffbe7a9c0f1277be69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "cellular", "support": 29285, "support_share": 0.647740594103205, "support_rank": 1}, {"value_label": "unknown", "support": 13020, "support_share": 0.28798301298356593, "support_rank": 2}, {"value_label": "telephone", "support": 2906, "support_share": 0.06427639291322908, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..55d4800add81919d330dc0536fc075227f428eef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_a8d422e63eed3168 +-- problem_id: v2p_m8_58e4ab481a6c1eae +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "contact" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "contact" +) +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_f/m8/artifacts/v2q_m8_a8d422e63eed3168/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..00bbf2b4772636df0d6ad214337b88a82db0be4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/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_f\n-- sql_source_dataset_id: m8\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_m8_a8d422e63eed3168\n-- problem_id: v2p_m8_58e4ab481a6c1eae\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"contact\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"contact\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_a8d422e63eed3168\\n-- problem_id: v2p_m8_58e4ab481a6c1eae\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"contact\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"contact\\\"\\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\": \"cellular\", \"support\": 29285, \"support_share\": 0.647740594103205, \"support_rank\": 1}, {\"value_label\": \"unknown\", \"support\": 13020, \"support_share\": 0.28798301298356593, \"support_rank\": 2}, {\"value_label\": \"telephone\", \"support\": 2906, \"support_share\": 0.06427639291322908, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cfd2c2047f5b2835b6dd9f3eaae5d4ad6d203819 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.913977+00:00", + "ended_at": "2026-05-19T16:32:31.929604+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_a8d422e63eed3168", + "problem_id": "v2p_m8_58e4ab481a6c1eae", + "dataset_id": "m8", + "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=contact.", + "bindings": { + "group_col": "contact" + }, + "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_f/m8/sql/v2q_m8_a8d422e63eed3168.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_f/m8/artifacts/v2q_m8_a8d422e63eed3168/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8d422e63eed3168/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_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7edb60bf7b39ec0986db649900f7ef904bdad1d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/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": "2026-05-19T16:26:36.929367+00:00", + "ended_at": "2026-05-19T16:26:40.516850+00:00", + "elapsed_ms": 3587.44, + "returncode": 1, + "prompt_metrics": { + "chars": 8895, + "bytes_utf8": 8895, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f332f434c1f496e3491ff26a322629e7e13b0fb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/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": "2026-05-19T16:26:41.519601+00:00", + "ended_at": "2026-05-19T16:26:44.468727+00:00", + "elapsed_ms": 2949.06, + "returncode": 1, + "prompt_metrics": { + "chars": 8895, + "bytes_utf8": 8895, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..334714946d40384ab71110e8a23de3a46ba446a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=campaign.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..334714946d40384ab71110e8a23de3a46ba446a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=campaign.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6af81f9171af6c1eb7de3164001f664036a70fba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-8797-7050-8bd0-35b36187dca7"} +{"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_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b439e9c54c11cb1436f5eb96f18496feac2f8c0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-8797-7050-8bd0-35b36187dca7"} +{"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_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d34fec5743e6f5557799972ed1e6f69c3476a334 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-994a-7043-8e87-500df9c19388"} +{"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_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cde30030e712c9559a4c1df7b8aad32a9ad820c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-994a-7043-8e87-500df9c19388"} +{"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_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aeb586b6690fe126/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a6bb0fa3f1445f635958581deedfe3b50b6451c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/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": "2026-05-19T16:17:41.532444+00:00", + "ended_at": "2026-05-19T16:17:46.053949+00:00", + "elapsed_ms": 4521.46, + "returncode": 1, + "prompt_metrics": { + "chars": 9507, + "bytes_utf8": 9507, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..49ec66ea618aeab0fb8de49e36c5c65cca80f345 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/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": "2026-05-19T16:17:47.056189+00:00", + "ended_at": "2026-05-19T16:17:50.517329+00:00", + "elapsed_ms": 3461.08, + "returncode": 1, + "prompt_metrics": { + "chars": 9507, + "bytes_utf8": 9507, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d0e979a2a7918deefbaa5ee6974a32dca9441fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=previous, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "previous", + "measure_col": "day", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d0e979a2a7918deefbaa5ee6974a32dca9441fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=previous, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "previous", + "measure_col": "day", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a42528c9f7c2c8b1682e91199ffcb2666c4cf3b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5c25-7592-9900-869d4a668f6f"} +{"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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0908ae15e645e169a602856f42ff6f64a77edc53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5c25-7592-9900-869d4a668f6f"} +{"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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56b38616bcafb12e9e0b53c85851b459ef953fc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-71c8-7aa3-b4a1-32d57053fb50"} +{"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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4828f7328f7576a2e601a37e7b062e64b69eeb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-71c8-7aa3-b4a1-32d57053fb50"} +{"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_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af4d7eb6bf88874a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e112f75f0c4866ee2bf38d40f609c58622d7b42d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:10:27.115504+00:00", + "ended_at": "2026-05-19T16:10:35.213431+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_af7da8fc452d4485", + "problem_id": "v2p_m8_b602d2b4bd1d9f27", + "dataset_id": "m8", + "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=age.", + "bindings": { + "group_col": "age", + "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": 1428.0, + "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=4", + "sql_variant_index=1/1", + "binding_index=15" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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", + "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_f/m8/artifacts/v2q_m8_af7da8fc452d4485/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..053400d8074bfb92049cbff4297c496eeb8e5ed0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:30.169834+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": 3048.27, "started_at": "2026-05-19T16:10:27.120437+00:00", "ended_at": "2026-05-19T16:10:30.168745+00:00", "prompt_metrics": {"chars": 8861, "bytes_utf8": 8861, "lines": 298, "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-baa6-7483-aec0-2936c5adebae\"}\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": "2026-05-19T16:10:35.213296+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": 4040.28, "started_at": "2026-05-19T16:10:31.171896+00:00", "ended_at": "2026-05-19T16:10:35.212235+00:00", "prompt_metrics": {"chars": 8861, "bytes_utf8": 8861, "lines": 298, "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-ca87-7921-b5e0-2b5c14a7a3ac\"}\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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a267ed7c4da674d22c634948676f1c4bfc4cccad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/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": "2026-05-19T16:08:33.871677+00:00", + "ended_at": "2026-05-19T16:08:36.558148+00:00", + "elapsed_ms": 2686.44, + "returncode": 1, + "prompt_metrics": { + "chars": 8962, + "bytes_utf8": 8962, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bca8c85db8df77a82bff0f7d96ce410c42a6352a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/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": "2026-05-19T16:08:37.559654+00:00", + "ended_at": "2026-05-19T16:08:40.380809+00:00", + "elapsed_ms": 2821.12, + "returncode": 1, + "prompt_metrics": { + "chars": 8962, + "bytes_utf8": 8962, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c5f8e0fefcbd0f6ede76f71683683b864f948f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=education, measure_col=duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "education", + "measure_col": "duration", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c5f8e0fefcbd0f6ede76f71683683b864f948f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=education, measure_col=duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "education", + "measure_col": "duration", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dba869323adaa03cbf576e484a5fab2d7bd4d4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0057-7c31-bdeb-0ad5a3f0d7f2"} +{"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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d58e4c10f58a013ae8b59079dd08f2179e8b6df8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0057-7c31-bdeb-0ad5a3f0d7f2"} +{"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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..48833b0006af17e9b652b2e07d73f44e263ff79e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0eb2-78a3-858b-4be2c8a8bb42"} +{"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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..643a1be5c7886f1eb2bc57db793db6d617e5bf47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0eb2-78a3-858b-4be2c8a8bb42"} +{"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_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b0bfd9b7fc6c304c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1fa2ae32b5f686254696dfc7d900c0807d235b09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:26:29.230920+00:00", + "ended_at": "2026-05-19T16:26:36.923804+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_b2c6ccd9e2dae3e7", + "problem_id": "v2p_m8_d3fadd7931698bd9", + "dataset_id": "m8", + "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=duration.", + "bindings": { + "measure_col": "duration", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "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=1", + "sql_variant_index=1/1", + "binding_index=108" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "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_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f8f2673848d6a62971ef4782a9eec328687bec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:26:32.442673+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": 3205.46, "started_at": "2026-05-19T16:26:29.235732+00:00", "ended_at": "2026-05-19T16:26:32.441236+00:00", "prompt_metrics": {"chars": 8898, "bytes_utf8": 8898, "lines": 298, "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\":\"019e410f-697c-72c3-b066-082d8a1d6272\"}\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": "2026-05-19T16:26:36.923689+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": 3478.66, "started_at": "2026-05-19T16:26:33.443952+00:00", "ended_at": "2026-05-19T16:26:36.922665+00:00", "prompt_metrics": {"chars": 8898, "bytes_utf8": 8898, "lines": 298, "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\":\"019e410f-79d1-7bf0-be0b-5c701fafd590\"}\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_f/m8/artifacts/v2q_m8_b8621f670466101d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc78ff86fd7d623cbfe2cc56e0a0160caa1fb6aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:30:53.036972+00:00", + "ended_at": "2026-05-19T16:31:01.890498+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_b8621f670466101d", + "problem_id": "v2p_m8_e368e1780b0fcae8", + "dataset_id": "m8", + "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": "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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=age, measure_col=day.", + "bindings": { + "group_col": "age", + "measure_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": 21.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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", + "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_f/m8/artifacts/v2q_m8_b8621f670466101d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..76574cef7257a1b6602d57e28bee940d44350ce0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:30:56.477186+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": 3434.7, "started_at": "2026-05-19T16:30:53.041539+00:00", "ended_at": "2026-05-19T16:30:56.476280+00:00", "prompt_metrics": {"chars": 9021, "bytes_utf8": 9021, "lines": 300, "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\":\"019e4113-6ff0-7192-987e-4c345fefeb37\"}\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": "2026-05-19T16:31:01.890394+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": 4410.48, "started_at": "2026-05-19T16:30:57.478897+00:00", "ended_at": "2026-05-19T16:31:01.889429+00:00", "prompt_metrics": {"chars": 9021, "bytes_utf8": 9021, "lines": 300, "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\":\"019e4113-812b-7601-8264-496744083ecd\"}\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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c288a6c3720853c6e952a714eb1e6cff132ab445 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/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": "2026-05-19T16:11:47.381933+00:00", + "ended_at": "2026-05-19T16:11:50.556509+00:00", + "elapsed_ms": 3174.55, + "returncode": 1, + "prompt_metrics": { + "chars": 9359, + "bytes_utf8": 9359, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c58e7119881adddd8e0f4b212d54ee057e32a69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/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": "2026-05-19T16:11:51.560253+00:00", + "ended_at": "2026-05-19T16:11:55.748100+00:00", + "elapsed_ms": 4187.8, + "returncode": 1, + "prompt_metrics": { + "chars": 9359, + "bytes_utf8": 9359, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83fa617c5a838f23a92ce71893704f5618b60a63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=previous, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "previous", + "measure_col": "previous", + "item_col": "age", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..83fa617c5a838f23a92ce71893704f5618b60a63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=previous, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "previous", + "measure_col": "previous", + "item_col": "age", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb83f7b537e86645739888522ee7eb59ac9cc374 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-f438-76a2-9b51-1f68fd2b6a00"} +{"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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28776791102d3391d7edd2f0a2250b8d67db886c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-f438-76a2-9b51-1f68fd2b6a00"} +{"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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b56b09a6ef47e74d41d2fcdd08977b0740d729b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-04c1-78d3-98a8-dda3ad393c17"} +{"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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7460fa97dcca4f9f8749ed12f1383d7a1adcae0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-04c1-78d3-98a8-dda3ad393c17"} +{"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_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8e07534b020dd11/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bebd1a26da5f1a2d589161fbdc99965bf7dd29f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:14:52.607349+00:00", + "ended_at": "2026-05-19T16:15:01.250432+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_b90a2d6e1cf00279", + "problem_id": "v2p_m8_473032a2c7580ca1", + "dataset_id": "m8", + "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=y, condition_col=loan.", + "bindings": { + "group_col": "y", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 21.0, + "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=9", + "sql_variant_index=1/1", + "binding_index=44" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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", + "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_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca8610e8e62dd8272401a1357f5db4185f5a507d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:55.758574+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": 3146.81, "started_at": "2026-05-19T16:14:52.611012+00:00", "ended_at": "2026-05-19T16:14:55.757853+00:00", "prompt_metrics": {"chars": 9748, "bytes_utf8": 9748, "lines": 303, "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\":\"019e4104-c7c4-7d60-ad67-9c6107797e82\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:15:01.250318+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": 4489.2, "started_at": "2026-05-19T16:14:56.760114+00:00", "ended_at": "2026-05-19T16:15:01.249363+00:00", "prompt_metrics": {"chars": 9748, "bytes_utf8": 9748, "lines": 303, "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\":\"019e4104-d7f6-7b11-bdfb-094e48e02464\"}\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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..923ce8e56fa9e5418ab289877797541dde3771a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/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": "2026-05-19T16:10:35.217107+00:00", + "ended_at": "2026-05-19T16:10:38.376252+00:00", + "elapsed_ms": 3159.11, + "returncode": 1, + "prompt_metrics": { + "chars": 8860, + "bytes_utf8": 8860, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c688f4241d53af995f6f63fbec85d64f37f1aa1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/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": "2026-05-19T16:10:39.377841+00:00", + "ended_at": "2026-05-19T16:10:42.830985+00:00", + "elapsed_ms": 3453.11, + "returncode": 1, + "prompt_metrics": { + "chars": 8860, + "bytes_utf8": 8860, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f87cb8f78370f53c606252d1bd4e19a540b71499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=job.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "job", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f87cb8f78370f53c606252d1bd4e19a540b71499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=job.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "job", + "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": 21.0, + "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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5057dd7e8566be22178553f724961d6420bcd9e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-da52-7881-b75a-bd896a395805"} +{"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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f33fe96d5be78ce48411647a2f5f5d65248b150 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-da52-7881-b75a-bd896a395805"} +{"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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfbbbe920c0acb0393c08113632d194a066f6ca7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-eab3-7ce2-a286-f28d40a42f51"} +{"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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f5c92f3d61dd757e3bfa6a442a21b4d261d2b1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-eab3-7ce2-a286-f28d40a42f51"} +{"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_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_babc9b3ef198cb3b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0460109c37484e2aa3dfd1cc592f62ffaa6939e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:13:43.417961+00:00", + "ended_at": "2026-05-19T16:13:50.196187+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_bb30e19a214f7084", + "problem_id": "v2p_m8_6a30212831a4b6c8", + "dataset_id": "m8", + "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=default, measure_col=previous.", + "bindings": { + "group_col": "default", + "measure_col": "previous", + "item_col": "age", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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", + "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_f/m8/artifacts/v2q_m8_bb30e19a214f7084/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3abf51e94d1373c32dbb51df1ced5eca90c9dfeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:46.269027+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": 2846.52, "started_at": "2026-05-19T16:13:43.421517+00:00", "ended_at": "2026-05-19T16:13:46.268075+00:00", "prompt_metrics": {"chars": 9359, "bytes_utf8": 9359, "lines": 302, "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\":\"019e4103-b995-7ec1-9407-b0704707b46a\"}\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": "2026-05-19T16:13:50.196098+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": 2924.21, "started_at": "2026-05-19T16:13:47.271096+00:00", "ended_at": "2026-05-19T16:13:50.195358+00:00", "prompt_metrics": {"chars": 9359, "bytes_utf8": 9359, "lines": 302, "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\":\"019e4103-c8a1-7ee2-ae95-01d4973d546a\"}\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_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..45e27d974c59ec3a70dcaee744ef6f86a2facf85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:13:36.025742+00:00", + "ended_at": "2026-05-19T16:13:43.417601+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_bc1ceb04675e4394", + "problem_id": "v2p_m8_3cb4efa3f7533f59", + "dataset_id": "m8", + "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=default, measure_col=previous.", + "bindings": { + "group_col": "default", + "measure_col": "previous", + "item_col": "age", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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", + "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_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..31fc7f53778634c4bbe4484a62d530744b197449 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:39.213796+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": 3184.29, "started_at": "2026-05-19T16:13:36.028811+00:00", "ended_at": "2026-05-19T16:13:39.213123+00:00", "prompt_metrics": {"chars": 9362, "bytes_utf8": 9362, "lines": 302, "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\":\"019e4103-9ca1-7c50-9437-8431a877d794\"}\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": "2026-05-19T16:13:43.417512+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": 3201.99, "started_at": "2026-05-19T16:13:40.214710+00:00", "ended_at": "2026-05-19T16:13:43.416730+00:00", "prompt_metrics": {"chars": 9362, "bytes_utf8": 9362, "lines": 302, "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\":\"019e4103-ace4-7582-aabf-5431806ea06e\"}\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_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a9730d48baf700a3cfe069da210142dea1db1843 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/run_manifest.json @@ -0,0 +1,73 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:15:18.497565+00:00", + "ended_at": "2026-05-19T16:15:26.900087+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_bc2712b2c533dc6c", + "problem_id": "v2p_m8_737be6dc59368e3a", + "dataset_id": "m8", + "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=default, group_col_2=housing.", + "bindings": { + "group_col": "default", + "group_col_2": "housing", + "predicate_col": "y", + "predicate_op": "=", + "predicate_value": "no", + "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": 1428.0, + "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=3", + "sql_variant_index=1/1", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1080cf43cc7ac40d41d8a6553613ec947e51a22a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:22.813292+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": 4311.85, "started_at": "2026-05-19T16:15:18.500651+00:00", "ended_at": "2026-05-19T16:15:22.812519+00:00", "prompt_metrics": {"chars": 9261, "bytes_utf8": 9261, "lines": 304, "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\":\"019e4105-2d01-7252-913e-05d6f4e10f38\"}\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": "2026-05-19T16:15:26.899964+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": 3084.89, "started_at": "2026-05-19T16:15:23.814349+00:00", "ended_at": "2026-05-19T16:15:26.899270+00:00", "prompt_metrics": {"chars": 9261, "bytes_utf8": 9261, "lines": 304, "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\":\"019e4105-41a7-7853-9c95-f53d857813e9\"}\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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..12eb4795c98aae604f7c87e9e9fc9adc8420ab49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/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": "2026-05-19T16:22:41.997583+00:00", + "ended_at": "2026-05-19T16:22:46.118798+00:00", + "elapsed_ms": 4121.17, + "returncode": 1, + "prompt_metrics": { + "chars": 9128, + "bytes_utf8": 9128, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e816c42beef8a885156b1665717eae02abc79b61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/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": "2026-05-19T16:22:47.122199+00:00", + "ended_at": "2026-05-19T16:22:50.520634+00:00", + "elapsed_ms": 3398.37, + "returncode": 1, + "prompt_metrics": { + "chars": 9128, + "bytes_utf8": 9128, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb392e3d271164eaa913350d672b628c5fe1c024 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=age, measure_col=previous.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "age", + "measure_col": "previous", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb392e3d271164eaa913350d672b628c5fe1c024 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=age, measure_col=previous.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "age", + "measure_col": "previous", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc9b5e9b67ceefa691540097e7a5e333f65154fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-f1ac-7440-a7c8-5b4dcc29c9c9"} +{"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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d640b711a3d04f8fb6e25cae2a405a73066aa58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-f1ac-7440-a7c8-5b4dcc29c9c9"} +{"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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d6f2080ca2f7700c453a3f265ce63d78728b8a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-05e6-7193-91b9-de134a0f0d7d"} +{"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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..19c9e909a18cdcd276769b0d600730060b7ededf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-05e6-7193-91b9-de134a0f0d7d"} +{"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_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c2ba51479bf38e49/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf04f2f614b8a31db1114590ffb7e27bfd096fb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"campaign": "1", "support": 17544, "avg_response": 40.66478568171455}, {"campaign": "2", "support": 12505, "avg_response": 40.93362654938025}, {"campaign": "3", "support": 5521, "avg_response": 40.936424560767975}, {"campaign": "4", "support": 3522, "avg_response": 41.59965928449744}, {"campaign": "5", "support": 1764, "avg_response": 41.438208616780045}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ea67f08f71d0a1076be77c4f564ef0631ef1eae5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_c324b90c72d1fcc1 +-- problem_id: v2p_m8_7b065e2a06faacf3 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "campaign", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m8" +GROUP BY "campaign" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e7de06ef828dc0de918effc3d980ba34c8ee745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/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_f\n-- sql_source_dataset_id: m8\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_m8_c324b90c72d1fcc1\n-- problem_id: v2p_m8_7b065e2a06faacf3\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"campaign\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m8\"\nGROUP BY \"campaign\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_c324b90c72d1fcc1\\n-- problem_id: v2p_m8_7b065e2a06faacf3\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"campaign\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"campaign\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"campaign\", \"support\", \"avg_response\"], \"rows\": [{\"campaign\": \"1\", \"support\": 17544, \"avg_response\": 40.66478568171455}, {\"campaign\": \"2\", \"support\": 12505, \"avg_response\": 40.93362654938025}, {\"campaign\": \"3\", \"support\": 5521, \"avg_response\": 40.936424560767975}, {\"campaign\": \"4\", \"support\": 3522, \"avg_response\": 41.59965928449744}, {\"campaign\": \"5\", \"support\": 1764, \"avg_response\": 41.438208616780045}, {\"campaign\": \"6\", \"support\": 1291, \"avg_response\": 41.79705654531371}, {\"campaign\": \"7\", \"support\": 735, \"avg_response\": 41.75918367346939}, {\"campaign\": \"8\", \"support\": 540, \"avg_response\": 41.620370370370374}, {\"campaign\": \"9\", \"support\": 327, \"avg_response\": 40.35474006116208}, {\"campaign\": \"10\", \"support\": 266, \"avg_response\": 41.72932330827068}, {\"campaign\": \"11\", \"support\": 201, \"avg_response\": 42.288557213930346}, {\"campaign\": \"12\", \"support\": 155, \"avg_response\": 40.96774193548387}, {\"campaign\": \"13\", \"support\": 133, \"avg_response\": 39.96992481203007}, {\"campaign\": \"14\", \"support\": 93, \"avg_response\": 39.763440860215056}, {\"campaign\": \"15\", \"support\": 84, \"avg_response\": 40.476190476190474}, {\"campaign\": \"16\", \"support\": 79, \"avg_response\": 40.164556962025316}, {\"campaign\": \"17\", \"support\": 69, \"avg_response\": 41.44927536231884}, {\"campaign\": \"18\", \"support\": 51, \"avg_response\": 38.72549019607843}, {\"campaign\": \"19\", \"support\": 44, \"avg_response\": 41.02272727272727}, {\"campaign\": \"20\", \"support\": 43, \"avg_response\": 43.23255813953488}, {\"campaign\": \"21\", \"support\": 35, \"avg_response\": 38.714285714285715}, {\"campaign\": \"22\", \"support\": 23, \"avg_response\": 43.04347826086956}, {\"campaign\": \"25\", \"support\": 22, \"avg_response\": 40.86363636363637}, {\"campaign\": \"23\", \"support\": 22, \"avg_response\": 40.5}, {\"campaign\": \"24\", \"support\": 20, \"avg_response\": 36.45}, {\"campaign\": \"29\", \"support\": 16, \"avg_response\": 40.8125}, {\"campaign\": \"28\", \"support\": 16, \"avg_response\": 37.4375}, {\"campaign\": \"26\", \"support\": 13, \"avg_response\": 35.07692307692308}, {\"campaign\": \"31\", \"support\": 12, \"avg_response\": 32.25}, {\"campaign\": \"27\", \"support\": 10, \"avg_response\": 36.4}, {\"campaign\": \"32\", \"support\": 9, \"avg_response\": 43.22222222222222}, {\"campaign\": \"30\", \"support\": 8, \"avg_response\": 41.75}, {\"campaign\": \"33\", \"support\": 6, \"avg_response\": 39.666666666666664}, {\"campaign\": \"34\", \"support\": 5, \"avg_response\": 38.0}], \"row_count_returned\": 34, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 20.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a12a424c4313b586766df76e533384c739b20c1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.163938+00:00", + "ended_at": "2026-05-19T16:32:32.185968+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_c324b90c72d1fcc1", + "problem_id": "v2p_m8_7b065e2a06faacf3", + "dataset_id": "m8", + "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=age, key_col=campaign.", + "bindings": { + "key_col": "campaign", + "measure_col": "age", + "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=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_f/m8/sql/v2q_m8_c324b90c72d1fcc1.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_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c324b90c72d1fcc1/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_f/m8/artifacts/v2q_m8_c520cc846a6f462c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c520cc846a6f462c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fee9329e152da9a9a24c7bad806c88a06bf63e63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c520cc846a6f462c/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:20:55.550433+00:00", + "ended_at": "2026-05-19T16:21:02.405582+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_c520cc846a6f462c", + "problem_id": "v2p_m8_3a509f105e8e54da", + "dataset_id": "m8", + "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=campaign, measure_col=balance.", + "bindings": { + "group_col": "campaign", + "measure_col": "balance", + "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": 927.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "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_f/m8/artifacts/v2q_m8_c520cc846a6f462c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c520cc846a6f462c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ddbf7193ff71aadd3f03b861f4bd641c39e4c0b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c520cc846a6f462c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:20:58.307065+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": 2752.96, "started_at": "2026-05-19T16:20:55.553332+00:00", "ended_at": "2026-05-19T16:20:58.306320+00:00", "prompt_metrics": {"chars": 9140, "bytes_utf8": 9140, "lines": 300, "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\":\"019e410a-51ad-77f1-b4a2-7719bcd2c7bd\"}\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": "2026-05-19T16:21:02.405497+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": 3096.19, "started_at": "2026-05-19T16:20:59.308539+00:00", "ended_at": "2026-05-19T16:21:02.404773+00:00", "prompt_metrics": {"chars": 9140, "bytes_utf8": 9140, "lines": 300, "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\":\"019e410a-602e-7452-a29a-5d99498f0dc0\"}\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_f/m8/artifacts/v2q_m8_c58c3484336899e2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cadc3e3b9063ba6b831cde5b18382a7f2723bd0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:10:55.989972+00:00", + "ended_at": "2026-05-19T16:11:02.567984+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_c58c3484336899e2", + "problem_id": "v2p_m8_58b9a45d818ac743", + "dataset_id": "m8", + "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=default.", + "bindings": { + "group_col": "default", + "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": -1.0, + "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=8", + "sql_variant_index=1/1", + "binding_index=19" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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", + "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_f/m8/artifacts/v2q_m8_c58c3484336899e2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..994c33b3e759f335f894dd9760649989f516dc23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:58.966656+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": 2973.1, "started_at": "2026-05-19T16:10:55.992870+00:00", "ended_at": "2026-05-19T16:10:58.965997+00:00", "prompt_metrics": {"chars": 8867, "bytes_utf8": 8867, "lines": 298, "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\":\"019e4101-2b81-7d80-9258-1c33a69df569\"}\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": "2026-05-19T16:11:02.567883+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": 2599.43, "started_at": "2026-05-19T16:10:59.967583+00:00", "ended_at": "2026-05-19T16:11:02.567050+00:00", "prompt_metrics": {"chars": 8867, "bytes_utf8": 8867, "lines": 298, "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\":\"019e4101-3aed-7cd3-9e9d-767399a6e714\"}\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_f/m8/artifacts/v2q_m8_c597450ac100c277/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..738856c12d487e031a8464460f8f1b932dca647f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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=default, measure_col=campaign. +Result preview: [{"default": "no", "total_measure": 122390}, {"default": "yes", "total_measure": 2566}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bcb9f6266d345693e27f3b4d85d8cf6866e75132 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_c597450ac100c277 +-- problem_id: v2p_m8_249285ac29afe41e +-- realization_mode: agent +-- source_kind: agent +SELECT + "default", + SUM(CAST("campaign" AS INTEGER)) AS "total_measure" +FROM "m8" +GROUP BY "default" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3289fa0754a55effa967c879aacfabbe15ec39a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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 \"default\",\n SUM(CAST(\"campaign\" AS INTEGER)) AS \"total_measure\"\nFROM \"m8\"\nGROUP BY \"default\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"default\\\",\\n SUM(CAST(\\\"campaign\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"m8\\\"\\nGROUP BY \\\"default\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"default\", \"total_measure\"], \"rows\": [{\"default\": \"no\", \"total_measure\": 122390}, {\"default\": \"yes\", \"total_measure\": 2566}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 15.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c8b98feb5c454d02b39c4e9cee9ed5d9227f4a0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:08:47.718070+00:00", + "ended_at": "2026-05-19T16:08:56.331440+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_c597450ac100c277", + "problem_id": "v2p_m8_249285ac29afe41e", + "dataset_id": "m8", + "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=default, measure_col=campaign.", + "bindings": { + "group_col": "default", + "measure_col": "campaign", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_f/m8/sql/v2q_m8_c597450ac100c277.sql", + "usage_summary": { + "dataset_id": "m8", + "model": "v2-cli:codex", + "run_id": "v2q_m8_c597450ac100c277", + "api_calls": 0, + "input_tokens": 14667, + "cached_input_tokens": 12032, + "output_tokens": 322, + "total_tokens": 14989, + "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": 8591.48, + "sql_execution_elapsed_ms_total": 15.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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_f/m8/artifacts/v2q_m8_c597450ac100c277/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b9517fee57db734ff6234148db844b6feca7cbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:08:56.313598+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": 8591.48, "started_at": "2026-05-19T16:08:47.721390+00:00", "ended_at": "2026-05-19T16:08:56.312887+00:00", "prompt_metrics": {"chars": 8957, "bytes_utf8": 8957, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 382, "bytes_utf8": 382, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14667, "cached_input_tokens": 12032, "output_tokens": 322, "reasoning_output_tokens": 221}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"default\\\",\\n SUM(CAST(\\\"campaign\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"m8\\\"\\nGROUP BY \\\"default\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned Grouped Numeric Sum template with group_col=\\\"default\\\" and measure_col=\\\"campaign\\\". CAST is applied because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bbf5b6100c7dc78db06de120513ab410cd19c092 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m8", + "model": "v2-cli:codex", + "run_id": "v2q_m8_c597450ac100c277", + "api_calls": 0, + "input_tokens": 14667, + "cached_input_tokens": 12032, + "output_tokens": 322, + "total_tokens": 14989, + "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": 8591.48, + "sql_execution_elapsed_ms_total": 15.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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_f/m8/artifacts/v2q_m8_c60f064f19578afc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2bb8755c60b3d7150fa2579d7e905fe97c23c0e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:16:40.005389+00:00", + "ended_at": "2026-05-19T16:16:47.461268+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_c60f064f19578afc", + "problem_id": "v2p_m8_e7f6be262ba20bee", + "dataset_id": "m8", + "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=previous.", + "bindings": { + "measure_col": "previous", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=3", + "sql_variant_index=1/1", + "binding_index=62" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_f/m8/artifacts/v2q_m8_c60f064f19578afc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d7d85ffd1f4e97f02dc80c933a0fa8086a4325b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:16:43.403893+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": 3392.53, "started_at": "2026-05-19T16:16:40.010062+00:00", "ended_at": "2026-05-19T16:16:43.402631+00:00", "prompt_metrics": {"chars": 9130, "bytes_utf8": 9130, "lines": 298, "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\":\"019e4106-6bc7-7ab3-bcc4-5607218f95c3\"}\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": "2026-05-19T16:16:47.461153+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": 3054.04, "started_at": "2026-05-19T16:16:44.406055+00:00", "ended_at": "2026-05-19T16:16:47.460159+00:00", "prompt_metrics": {"chars": 9130, "bytes_utf8": 9130, "lines": 298, "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\":\"019e4106-7d02-73f3-b765-23246f609425\"}\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_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cbe9b969908514069cbc51fe7f75159c3bf4bc9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:25:31.352286+00:00", + "ended_at": "2026-05-19T16:25:40.462943+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_c67e1070b32fe65c", + "problem_id": "v2p_m8_14fd4d3e4830ae53", + "dataset_id": "m8", + "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=pdays, condition_col=contact.", + "bindings": { + "group_col": "pdays", + "condition_col": "contact", + "condition_value": "unknown", + "positive_value": "cellular", + "negative_value": "unknown", + "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": 319.0, + "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=6", + "sql_variant_index=2/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b3caa01c046e4f9de399e68826104f8d0355224d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:25:35.958649+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": 4599.63, "started_at": "2026-05-19T16:25:31.357975+00:00", "ended_at": "2026-05-19T16:25:35.957665+00:00", "prompt_metrics": {"chars": 9215, "bytes_utf8": 9215, "lines": 303, "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\":\"019e410e-877f-70a2-ac76-23f4580b3e32\"}\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": "2026-05-19T16:25:40.462827+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": 3501.83, "started_at": "2026-05-19T16:25:36.959895+00:00", "ended_at": "2026-05-19T16:25:40.461771+00:00", "prompt_metrics": {"chars": 9215, "bytes_utf8": 9215, "lines": 303, "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\":\"019e410e-9d64-7ac2-ad6f-595f5036e741\"}\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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0ce8d226b85b39ceb625f81fbd3060e7d18fad75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/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": "2026-05-19T16:11:02.571940+00:00", + "ended_at": "2026-05-19T16:11:05.407673+00:00", + "elapsed_ms": 2835.71, + "returncode": 1, + "prompt_metrics": { + "chars": 9365, + "bytes_utf8": 9365, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..df2c40de406239f21d7dae007a90211cebccd3da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/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": "2026-05-19T16:11:06.409691+00:00", + "ended_at": "2026-05-19T16:11:09.637114+00:00", + "elapsed_ms": 3227.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9365, + "bytes_utf8": 9365, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f22cc5032d05db701a4e357c0b23da7b13fb70cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "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=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "month", + "measure_col": "duration", + "item_col": "campaign", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f22cc5032d05db701a4e357c0b23da7b13fb70cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "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=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "month", + "measure_col": "duration", + "item_col": "campaign", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4b2c202131b1912c85c61fd2d7088e7edadb168 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-452d-7702-85cd-03cfece70e93"} +{"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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0793c3c212ad572ec5f43a10e941361930e193f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-452d-7702-85cd-03cfece70e93"} +{"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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..41ce4c7924a12abeb05ba7e0f488448368b80d48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-5435-7ba1-9842-6e843fda8d61"} +{"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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2ddb9a3ea7830b08ada205b5b3c1741f6d688f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-5435-7ba1-9842-6e843fda8d61"} +{"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_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c80a4cac4ee9c6f8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..11983c3e0b5574961febc5caacacdd77af0eaaca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:27:08.739398+00:00", + "ended_at": "2026-05-19T16:27:19.316202+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_ca83a21f461b6683", + "problem_id": "v2p_m8_a9b29df3e3d4f820", + "dataset_id": "m8", + "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=balance.", + "bindings": { + "measure_col": "balance", + "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": 1428.0, + "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=6", + "sql_variant_index=1/1", + "binding_index=113" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "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_f/m8/artifacts/v2q_m8_ca83a21f461b6683/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee2f11c4b89ffd7874c369f0d7e28627480f29ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:27:12.379748+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": 3634.47, "started_at": "2026-05-19T16:27:08.744009+00:00", "ended_at": "2026-05-19T16:27:12.378521+00:00", "prompt_metrics": {"chars": 8896, "bytes_utf8": 8896, "lines": 298, "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\":\"019e4110-03d4-71e3-90ba-07dbc446af69\"}\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": "2026-05-19T16:27:19.316089+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": 5933.51, "started_at": "2026-05-19T16:27:13.381424+00:00", "ended_at": "2026-05-19T16:27:19.315053+00:00", "prompt_metrics": {"chars": 8896, "bytes_utf8": 8896, "lines": 298, "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\":\"019e4110-15ed-7170-ae6f-d9b85978ff49\"}\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_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e830a45209d6f0f74ba6ac37b2b0290efda2abd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/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": "2026-05-19T16:09:18.789024+00:00", + "ended_at": "2026-05-19T16:09:21.880767+00:00", + "elapsed_ms": 3091.71, + "returncode": 1, + "prompt_metrics": { + "chars": 8951, + "bytes_utf8": 8951, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bced0057ccd21b0f409cacabe647fe0d9392effd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/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": "2026-05-19T16:09:22.882936+00:00", + "ended_at": "2026-05-19T16:09:26.333750+00:00", + "elapsed_ms": 3450.78, + "returncode": 1, + "prompt_metrics": { + "chars": 8951, + "bytes_utf8": 8951, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e3c9f97b67c4129873a046a24f649bf9baa1fcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=loan, measure_col=previous.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "loan", + "measure_col": "previous", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e3c9f97b67c4129873a046a24f649bf9baa1fcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=loan, measure_col=previous.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "loan", + "measure_col": "previous", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69e3cbd261af90ed8965d1965d80613143e97601 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-afcc-72c2-abf3-0c128b573b4b"} +{"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_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9834e8f7d550708f852d1e7c875b5f975035f326 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-afcc-72c2-abf3-0c128b573b4b"} +{"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_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30fd3780ae23c14f5932592eed12d10ad3165859 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-bfc2-7fe3-a8a4-52ce1c0a3b31"} +{"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_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..736dda2ea2e990f4a926b35efadbbfe5125976ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-bfc2-7fe3-a8a4-52ce1c0a3b31"} +{"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_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ccfe52bd3bd98373/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2762d2f3dcc37cbb849a610478849514cc6944a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "20", "support": 2752, "support_share": 0.060870142222025615, "cumulative_support": 2752}, {"value_label": "18", "support": 2308, "support_share": 0.05104952334608834, "cumulative_support": 5060}, {"value_label": "21", "support": 2026, "support_share": 0.04481210324920926, "cumulative_support": 7086}, {"value_label": "17", "support": 1939, "support_share": 0.04288779279378912, "cumulative_support": 9025}, {"value_label": "6", "support": 1932, "support_share": 0.042732963216916234, "cumulative_support": 10957}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b52c115e7f3dc45a8f524cea6f42d1edf6c4f7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_cde99542f39220c9 +-- problem_id: v2p_m8_ba87a37f93c6c883 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "day" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "day" +), 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_f/m8/artifacts/v2q_m8_cde99542f39220c9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..40ec654ab4aff6b0d4d3c319eadfe89f0bf34cb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/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_f\n-- sql_source_dataset_id: m8\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_m8_cde99542f39220c9\n-- problem_id: v2p_m8_ba87a37f93c6c883\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"day\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"day\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_cde99542f39220c9\\n-- problem_id: v2p_m8_ba87a37f93c6c883\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"day\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"day\\\"\\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\": \"20\", \"support\": 2752, \"support_share\": 0.060870142222025615, \"cumulative_support\": 2752}, {\"value_label\": \"18\", \"support\": 2308, \"support_share\": 0.05104952334608834, \"cumulative_support\": 5060}, {\"value_label\": \"21\", \"support\": 2026, \"support_share\": 0.04481210324920926, \"cumulative_support\": 7086}, {\"value_label\": \"17\", \"support\": 1939, \"support_share\": 0.04288779279378912, \"cumulative_support\": 9025}, {\"value_label\": \"6\", \"support\": 1932, \"support_share\": 0.042732963216916234, \"cumulative_support\": 10957}, {\"value_label\": \"5\", \"support\": 1910, \"support_share\": 0.042246355975315744, \"cumulative_support\": 12867}, {\"value_label\": \"14\", \"support\": 1848, \"support_share\": 0.04087500829444162, \"cumulative_support\": 14715}, {\"value_label\": \"8\", \"support\": 1842, \"support_share\": 0.04074229722855057, \"cumulative_support\": 16557}, {\"value_label\": \"28\", \"support\": 1830, \"support_share\": 0.040476875096768485, \"cumulative_support\": 18387}, {\"value_label\": \"7\", \"support\": 1817, \"support_share\": 0.040189334454004556, \"cumulative_support\": 20204}, {\"value_label\": \"19\", \"support\": 1757, \"support_share\": 0.03886222379509412, \"cumulative_support\": 21961}, {\"value_label\": \"29\", \"support\": 1745, \"support_share\": 0.03859680166331202, \"cumulative_support\": 23706}, {\"value_label\": \"15\", \"support\": 1703, \"support_share\": 0.037667824202074714, \"cumulative_support\": 25409}, {\"value_label\": \"12\", \"support\": 1603, \"support_share\": 0.03545597310389065, \"cumulative_support\": 27012}, {\"value_label\": \"13\", \"support\": 1585, \"support_share\": 0.03505783990621751, \"cumulative_support\": 28597}, {\"value_label\": \"30\", \"support\": 1566, \"support_share\": 0.03463758819756254, \"cumulative_support\": 30163}, {\"value_label\": \"9\", \"support\": 1561, \"support_share\": 0.03452699564265334, \"cumulative_support\": 31724}, {\"value_label\": \"11\", \"support\": 1479, \"support_share\": 0.0327132777421424, \"cumulative_support\": 33203}, {\"value_label\": \"4\", \"support\": 1445, \"support_share\": 0.03196124836875981, \"cumulative_support\": 34648}, {\"value_label\": \"16\", \"support\": 1415, \"support_share\": 0.031297693039304596, \"cumulative_support\": 36063}, {\"value_label\": \"2\", \"support\": 1293, \"support_share\": 0.02859923469952003, \"cumulative_support\": 37356}, {\"value_label\": \"27\", \"support\": 1121, \"support_share\": 0.024794850810643428, \"cumulative_support\": 38477}, {\"value_label\": \"3\", \"support\": 1079, \"support_share\": 0.023865873349406118, \"cumulative_support\": 39556}, {\"value_label\": \"26\", \"support\": 1035, \"support_share\": 0.022892658866205128, \"cumulative_support\": 40591}, {\"value_label\": \"23\", \"support\": 939, \"support_share\": 0.02076928181194842, \"cumulative_support\": 41530}, {\"value_label\": \"22\", \"support\": 905, \"support_share\": 0.020017252438565836, \"cumulative_support\": 42435}, {\"value_label\": \"25\", \"support\": 840, \"support_share\": 0.01857954922474619, \"cumulative_support\": 43275}, {\"value_label\": \"31\", \"support\": 643, \"support_share\": 0.014222202561323572, \"cumulative_support\": 43918}, {\"value_label\": \"10\", \"support\": 524, \"support_share\": 0.011590099754484528, \"cumulative_support\": 44442}, {\"value_label\": \"24\", \"support\": 447, \"support_share\": 0.009886974408882794, \"cumulative_support\": 44889}, {\"value_label\": \"1\", \"support\": 322, \"support_share\": 0.007122160536152706, \"cumulative_support\": 45211}], \"row_count_returned\": 31, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1f1395fbee8a1cba69af68796bf9ceed63b11c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.720443+00:00", + "ended_at": "2026-05-19T16:32:31.735498+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_cde99542f39220c9", + "problem_id": "v2p_m8_ba87a37f93c6c883", + "dataset_id": "m8", + "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=day.", + "bindings": { + "group_col": "day" + }, + "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=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_f/m8/sql/v2q_m8_cde99542f39220c9.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_f/m8/artifacts/v2q_m8_cde99542f39220c9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cde99542f39220c9/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_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8a431d0fb31ced79cb10f920830fe0ed845c50c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:08:56.331956+00:00", + "ended_at": "2026-05-19T16:09:04.239206+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_ce66b97a421a0cc6", + "problem_id": "v2p_m8_fb00fc942e02a015", + "dataset_id": "m8", + "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=default, measure_col=campaign.", + "bindings": { + "group_col": "default", + "measure_col": "campaign", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=2/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f092b6193361b1728ee45281570ba0c839327a79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:00.309055+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": 3973.3, "started_at": "2026-05-19T16:08:56.334874+00:00", "ended_at": "2026-05-19T16:09:00.308196+00:00", "prompt_metrics": {"chars": 8958, "bytes_utf8": 8958, "lines": 300, "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\":\"019e40ff-5815-7e73-89e9-c60bcfb19cf5\"}\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": "2026-05-19T16:09:04.239114+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": 2928.44, "started_at": "2026-05-19T16:09:01.309867+00:00", "ended_at": "2026-05-19T16:09:04.238340+00:00", "prompt_metrics": {"chars": 8958, "bytes_utf8": 8958, "lines": 300, "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\":\"019e40ff-6b84-7b33-b86a-f2ebf8236da0\"}\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_f/m8/artifacts/v2q_m8_cecc7ea11747665a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..06f7915370a6ccb8ece22b7b25a16a7da4c82df8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:16:47.461724+00:00", + "ended_at": "2026-05-19T16:16:54.867383+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_cecc7ea11747665a", + "problem_id": "v2p_m8_467cf8e3a884c0f3", + "dataset_id": "m8", + "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=age.", + "bindings": { + "measure_col": "age", + "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": 48.0, + "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=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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", + "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_f/m8/artifacts/v2q_m8_cecc7ea11747665a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8269a9015e21447feea3937981148aa000036561 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:16:50.565200+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": 3097.47, "started_at": "2026-05-19T16:16:47.466586+00:00", "ended_at": "2026-05-19T16:16:50.564095+00:00", "prompt_metrics": {"chars": 9120, "bytes_utf8": 9120, "lines": 298, "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\":\"019e4106-88fd-7cb1-a1d8-6a0cdacad419\"}\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": "2026-05-19T16:16:54.867273+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": 3299.2, "started_at": "2026-05-19T16:16:51.567017+00:00", "ended_at": "2026-05-19T16:16:54.866273+00:00", "prompt_metrics": {"chars": 9120, "bytes_utf8": 9120, "lines": 298, "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\":\"019e4106-98f9-7b70-acae-88b1c20c8e01\"}\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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c30b5e6a1a18ddb8522062cde4183ab7fe381be3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/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": "2026-05-19T16:12:12.860978+00:00", + "ended_at": "2026-05-19T16:12:16.239402+00:00", + "elapsed_ms": 3378.37, + "returncode": 1, + "prompt_metrics": { + "chars": 9356, + "bytes_utf8": 9356, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3280ebdad640bd455044a4c383e2d54502fe0119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/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": "2026-05-19T16:12:17.241051+00:00", + "ended_at": "2026-05-19T16:12:20.516200+00:00", + "elapsed_ms": 3275.12, + "returncode": 1, + "prompt_metrics": { + "chars": 9356, + "bytes_utf8": 9356, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16a359ac00942e65deb5217060b1f96b48fcbbde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=poutcome, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "poutcome", + "measure_col": "age", + "item_col": "balance", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..16a359ac00942e65deb5217060b1f96b48fcbbde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=poutcome, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "poutcome", + "measure_col": "age", + "item_col": "balance", + "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": 45.0, + "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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06283af99f7894d707e73b12f1ee4deb113fc0da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-57bd-77a1-8158-37ef851d4e9c"} +{"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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..230b6ea35cc0a9ab6d0ae074529f94769d2798d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-57bd-77a1-8158-37ef851d4e9c"} +{"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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..93879d8f2291c695c9470ae776fab8042c25105a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-68e0-7351-902c-b14912b6ba7a"} +{"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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bc328709ea657e032158801ee6d8e06dccdb86d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-68e0-7351-902c-b14912b6ba7a"} +{"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_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cf2fae93e6123899/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..be3e23419f369b3641c6f6d6293576f8b5beb99c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:16:27.612652+00:00", + "ended_at": "2026-05-19T16:16:40.004951+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_cfecaae03b91da39", + "problem_id": "v2p_m8_419dde7c72a83536", + "dataset_id": "m8", + "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=pdays.", + "bindings": { + "measure_col": "pdays", + "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": -1.0, + "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=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", + "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_f/m8/artifacts/v2q_m8_cfecaae03b91da39/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..214718100f42923ba446d84b3cf826549cd1fbc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:16:34.596720+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": 6978.14, "started_at": "2026-05-19T16:16:27.617543+00:00", "ended_at": "2026-05-19T16:16:34.595723+00:00", "prompt_metrics": {"chars": 9124, "bytes_utf8": 9124, "lines": 298, "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\":\"019e4106-3b5d-73b1-89eb-053cccf37db7\"}\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": "2026-05-19T16:16:40.004847+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": 4405.57, "started_at": "2026-05-19T16:16:35.598089+00:00", "ended_at": "2026-05-19T16:16:40.003715+00:00", "prompt_metrics": {"chars": 9124, "bytes_utf8": 9124, "lines": 298, "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\":\"019e4106-5a70-7252-83dc-84e0ea292287\"}\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_f/m8/artifacts/v2q_m8_cff9d280d595aead/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..da4b0d3d9f9699c8906759f6f3891e755dfef879 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:18:24.457264+00:00", + "ended_at": "2026-05-19T16:18:34.933068+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_cff9d280d595aead", + "problem_id": "v2p_m8_6909a9201861d68a", + "dataset_id": "m8", + "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=age, measure_col=pdays.", + "bindings": { + "group_col": "age", + "measure_col": "pdays", + "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": -1.0, + "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": "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=4", + "sql_variant_index=1/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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", + "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_f/m8/artifacts/v2q_m8_cff9d280d595aead/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb30e52d6ba3a139410d5ab7b6c13d0df0903382 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:18:27.365756+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": 2904.47, "started_at": "2026-05-19T16:18:24.460343+00:00", "ended_at": "2026-05-19T16:18:27.364841+00:00", "prompt_metrics": {"chars": 9499, "bytes_utf8": 9499, "lines": 300, "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\":\"019e4108-0365-7fb2-9491-1f6c6b95aa44\"}\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": "2026-05-19T16:18:34.932899+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": 6564.32, "started_at": "2026-05-19T16:18:28.367326+00:00", "ended_at": "2026-05-19T16:18:34.931698+00:00", "prompt_metrics": {"chars": 9499, "bytes_utf8": 9499, "lines": 300, "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\":\"019e4108-1297-70c3-a776-31d614640912\"}\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_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f265532af395f319f2a826d03592755985a028bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"age": "32", "support": 2085, "avg_response": 260.0115107913669}, {"age": "31", "support": 1996, "avg_response": 256.60821643286573}, {"age": "33", "support": 1972, "avg_response": 257.02079107505074}, {"age": "34", "support": 1930, "avg_response": 253.41658031088082}, {"age": "35", "support": 1894, "avg_response": 260.54329461457235}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..544bade025a80b3972fbcb9bcd5de56cf6ddf2d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_d429b6e9f81e885e +-- problem_id: v2p_m8_e2309e521b558adb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("duration") AS avg_response +FROM "m8" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6928e0f1291b6acafe5f69577870cecc04faea40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/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_f\n-- sql_source_dataset_id: m8\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_m8_d429b6e9f81e885e\n-- problem_id: v2p_m8_e2309e521b558adb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"age\",\n COUNT(*) AS support,\n AVG(\"duration\") AS avg_response\nFROM \"m8\"\nGROUP BY \"age\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_d429b6e9f81e885e\\n-- problem_id: v2p_m8_e2309e521b558adb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"age\\\",\\n COUNT(*) AS support,\\n AVG(\\\"duration\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"age\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"age\", \"support\", \"avg_response\"], \"rows\": [{\"age\": \"32\", \"support\": 2085, \"avg_response\": 260.0115107913669}, {\"age\": \"31\", \"support\": 1996, \"avg_response\": 256.60821643286573}, {\"age\": \"33\", \"support\": 1972, \"avg_response\": 257.02079107505074}, {\"age\": \"34\", \"support\": 1930, \"avg_response\": 253.41658031088082}, {\"age\": \"35\", \"support\": 1894, \"avg_response\": 260.54329461457235}, {\"age\": \"36\", \"support\": 1806, \"avg_response\": 261.0520487264673}, {\"age\": \"30\", \"support\": 1757, \"avg_response\": 259.31132612407515}, {\"age\": \"37\", \"support\": 1696, \"avg_response\": 249.51591981132074}, {\"age\": \"39\", \"support\": 1487, \"avg_response\": 266.13449899125754}, {\"age\": \"38\", \"support\": 1466, \"avg_response\": 256.5211459754434}, {\"age\": \"40\", \"support\": 1355, \"avg_response\": 267.0959409594096}, {\"age\": \"41\", \"support\": 1291, \"avg_response\": 261.7699457784663}, {\"age\": \"42\", \"support\": 1242, \"avg_response\": 245.17713365539453}, {\"age\": \"45\", \"support\": 1216, \"avg_response\": 247.57483552631578}, {\"age\": \"29\", \"support\": 1185, \"avg_response\": 274.2582278481013}, {\"age\": \"46\", \"support\": 1175, \"avg_response\": 244.61617021276595}, {\"age\": \"43\", \"support\": 1161, \"avg_response\": 246.0947459086994}, {\"age\": \"44\", \"support\": 1136, \"avg_response\": 249.67781690140845}, {\"age\": \"47\", \"support\": 1088, \"avg_response\": 244.60386029411765}, {\"age\": \"28\", \"support\": 1038, \"avg_response\": 281.77842003853567}, {\"age\": \"48\", \"support\": 997, \"avg_response\": 248.88665997993982}, {\"age\": \"49\", \"support\": 994, \"avg_response\": 242.1368209255533}, {\"age\": \"50\", \"support\": 939, \"avg_response\": 244.17145899893504}, {\"age\": \"51\", \"support\": 936, \"avg_response\": 241.9604700854701}, {\"age\": \"52\", \"support\": 911, \"avg_response\": 234.81558726673984}, {\"age\": \"27\", \"support\": 909, \"avg_response\": 276.66996699669966}, {\"age\": \"53\", \"support\": 891, \"avg_response\": 252.36139169472503}, {\"age\": \"57\", \"support\": 828, \"avg_response\": 252.6183574879227}, {\"age\": \"54\", \"support\": 811, \"avg_response\": 246.7928483353884}, {\"age\": \"55\", \"support\": 806, \"avg_response\": 241.6985111662531}, {\"age\": \"26\", \"support\": 805, \"avg_response\": 290.18260869565216}, {\"age\": \"56\", \"support\": 778, \"avg_response\": 235.47943444730078}, {\"age\": \"59\", \"support\": 770, \"avg_response\": 274.7688311688312}, {\"age\": \"58\", \"support\": 740, \"avg_response\": 262.02972972972975}, {\"age\": \"60\", \"support\": 596, \"avg_response\": 269.12919463087246}, {\"age\": \"25\", \"support\": 527, \"avg_response\": 286.404174573055}, {\"age\": \"24\", \"support\": 302, \"avg_response\": 283.49006622516555}, {\"age\": \"23\", \"support\": 202, \"avg_response\": 298.9059405940594}, {\"age\": \"61\", \"support\": 147, \"avg_response\": 268.25850340136054}, {\"age\": \"22\", \"support\": 129, \"avg_response\": 234.96899224806202}, {\"age\": \"62\", \"support\": 80, \"avg_response\": 260.875}, {\"age\": \"21\", \"support\": 79, \"avg_response\": 208.65822784810126}, {\"age\": \"63\", \"support\": 77, \"avg_response\": 331.42857142857144}, {\"age\": \"64\", \"support\": 74, \"avg_response\": 300.5}, {\"age\": \"70\", \"support\": 67, \"avg_response\": 296.7014925373134}, {\"age\": \"66\", \"support\": 63, \"avg_response\": 302.63492063492066}, {\"age\": \"65\", \"support\": 59, \"avg_response\": 312.47457627118644}, {\"age\": \"71\", \"support\": 54, \"avg_response\": 372.24074074074076}, {\"age\": \"67\", \"support\": 54, \"avg_response\": 341.0740740740741}, {\"age\": \"72\", \"support\": 52, \"avg_response\": 341.2692307692308}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 24.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc6482232883065472cfa9ebd3ea4e16733671b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.038614+00:00", + "ended_at": "2026-05-19T16:32:32.064215+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_d429b6e9f81e885e", + "problem_id": "v2p_m8_e2309e521b558adb", + "dataset_id": "m8", + "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=duration, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "duration", + "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=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_f/m8/sql/v2q_m8_d429b6e9f81e885e.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_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d429b6e9f81e885e/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_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..92780a595b486f990c52e437a0643bdea29ae00e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/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": "2026-05-19T16:28:55.993041+00:00", + "ended_at": "2026-05-19T16:28:59.252832+00:00", + "elapsed_ms": 3259.75, + "returncode": 1, + "prompt_metrics": { + "chars": 8947, + "bytes_utf8": 8947, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d52cac7bef05181ab8d6ce5929318be6e64d28e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/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": "2026-05-19T16:29:00.255447+00:00", + "ended_at": "2026-05-19T16:29:03.698369+00:00", + "elapsed_ms": 3442.87, + "returncode": 1, + "prompt_metrics": { + "chars": 8947, + "bytes_utf8": 8947, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9942942f823f792b4f59428fb9272e176b4721b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=default.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "default", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9942942f823f792b4f59428fb9272e176b4721b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=default.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "default", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bbdc6919aed8af6fbe5779aa2775c35677db046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-a6ce-7b03-911a-7b250cb2a2de"} +{"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_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b9fa8fbfa27af85eb2b5c3975f62a8e3cdbe565 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-a6ce-7b03-911a-7b250cb2a2de"} +{"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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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac86c2421a2511db34f34573d5950e7f6f1a47e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_d79f303bc72c6272/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-b748-7791-9694-6385a8904a7a"} +{"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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Focus on group_col=previous, measure_col=previous.", + "bindings": { + "group_col": "previous", + "measure_col": "previous", + "item_col": "age", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=2/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_f/m8/artifacts/v2q_m8_dc2268e21234036d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b569f619e8bc8a27b98a80489316de2869167e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:58.824308+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": 3070.28, "started_at": "2026-05-19T16:11:55.752512+00:00", "ended_at": "2026-05-19T16:11:58.822823+00:00", "prompt_metrics": {"chars": 9366, "bytes_utf8": 9366, "lines": 302, "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\":\"019e4102-14e0-7092-88f3-b7874118fe2f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:12:04.749121+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": 4922.48, "started_at": "2026-05-19T16:11:59.825446+00:00", "ended_at": "2026-05-19T16:12:04.747956+00:00", "prompt_metrics": {"chars": 9366, "bytes_utf8": 9366, "lines": 302, "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\":\"019e4102-24df-7440-865f-b7565931db7e\"}\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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4dca90681485381088ef17abe39f471d87817361 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/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": "2026-05-19T16:28:32.488672+00:00", + "ended_at": "2026-05-19T16:28:35.560343+00:00", + "elapsed_ms": 3071.63, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b7121737a1944dd3840fdc7ee3646efe821377f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/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": "2026-05-19T16:28:36.563372+00:00", + "ended_at": "2026-05-19T16:28:39.797942+00:00", + "elapsed_ms": 3234.51, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfa773791ae636a048ff09c4be5a9dc39f542e37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=marital.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "marital", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfa773791ae636a048ff09c4be5a9dc39f542e37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=marital.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "marital", + "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": 319.0, + "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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f070f46f2dbcd586367ca3fd82a54b5f34084d31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-4ad3-7e20-a293-448bee015216"} +{"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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..121656a7c641cdd38aafed72051463a743ade85e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-4ad3-7e20-a293-448bee015216"} +{"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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e826ba8b9b61ea042071fe239e09a7776def2fd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-5aaf-7a63-910c-80b67365f60d"} +{"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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..400f4c12eebfa5a51749ca3bcd37f1780471d24c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-5aaf-7a63-910c-80b67365f60d"} +{"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_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dd422b6eb210493a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..93eceb81fbdd10bdc9bcda289d9d38140c4e377b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:31:17.272491+00:00", + "ended_at": "2026-05-19T16:31:25.355352+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_df27b7aa408dce4e", + "problem_id": "v2p_m8_aae809b59a403a6d", + "dataset_id": "m8", + "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=job, measure_col=duration.", + "bindings": { + "group_col": "job", + "measure_col": "duration", + "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": 254.0, + "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=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_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9b87179dc17e8e704e210a38a9c4e5e52eb3239 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:31:20.946339+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": 3667.73, "started_at": "2026-05-19T16:31:17.277141+00:00", "ended_at": "2026-05-19T16:31:20.944924+00:00", "prompt_metrics": {"chars": 9036, "bytes_utf8": 9036, "lines": 300, "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\":\"019e4113-ce7a-7063-9a5c-dc30167740f9\"}\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": "2026-05-19T16:31:25.355236+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": 3406.51, "started_at": "2026-05-19T16:31:21.947683+00:00", "ended_at": "2026-05-19T16:31:25.354256+00:00", "prompt_metrics": {"chars": 9036, "bytes_utf8": 9036, "lines": 300, "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\":\"019e4113-e0c5-7400-8ef7-af27a4487e09\"}\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_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cc85c5278647a6f2adb1c5894bd8e6a202bf310 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "32", "support": 2085, "support_share": 0.04611709539713787, "cumulative_support": 2085}, {"value_label": "31", "support": 1996, "support_share": 0.04414854791975404, "cumulative_support": 4081}, {"value_label": "33", "support": 1972, "support_share": 0.04361770365618987, "cumulative_support": 6053}, {"value_label": "34", "support": 1930, "support_share": 0.04268872619495256, "cumulative_support": 7983}, {"value_label": "35", "support": 1894, "support_share": 0.04189245979960629, "cumulative_support": 9877}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..30d98984463904ec536ccacae59fdf858abb2707 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_e1e2dbb02462c8de +-- problem_id: v2p_m8_9249f67719b8193f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "age" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "age" +), 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_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95b56950f548de8090f658439badc64af6e52f6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/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_f\n-- sql_source_dataset_id: m8\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_m8_e1e2dbb02462c8de\n-- problem_id: v2p_m8_9249f67719b8193f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"age\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"age\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_e1e2dbb02462c8de\\n-- problem_id: v2p_m8_9249f67719b8193f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"age\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"age\\\"\\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\": \"32\", \"support\": 2085, \"support_share\": 0.04611709539713787, \"cumulative_support\": 2085}, {\"value_label\": \"31\", \"support\": 1996, \"support_share\": 0.04414854791975404, \"cumulative_support\": 4081}, {\"value_label\": \"33\", \"support\": 1972, \"support_share\": 0.04361770365618987, \"cumulative_support\": 6053}, {\"value_label\": \"34\", \"support\": 1930, \"support_share\": 0.04268872619495256, \"cumulative_support\": 7983}, {\"value_label\": \"35\", \"support\": 1894, \"support_share\": 0.04189245979960629, \"cumulative_support\": 9877}, {\"value_label\": \"36\", \"support\": 1806, \"support_share\": 0.03994603083320431, \"cumulative_support\": 11683}, {\"value_label\": \"30\", \"support\": 1757, \"support_share\": 0.03886222379509412, \"cumulative_support\": 13440}, {\"value_label\": \"37\", \"support\": 1696, \"support_share\": 0.03751299462520183, \"cumulative_support\": 15136}, {\"value_label\": \"39\", \"support\": 1487, \"support_share\": 0.03289022582999712, \"cumulative_support\": 16623}, {\"value_label\": \"38\", \"support\": 1466, \"support_share\": 0.03242573709937847, \"cumulative_support\": 18089}, {\"value_label\": \"40\", \"support\": 1355, \"support_share\": 0.029970582380394153, \"cumulative_support\": 19444}, {\"value_label\": \"41\", \"support\": 1291, \"support_share\": 0.028554997677556346, \"cumulative_support\": 20735}, {\"value_label\": \"42\", \"support\": 1242, \"support_share\": 0.027471190639446152, \"cumulative_support\": 21977}, {\"value_label\": \"45\", \"support\": 1216, \"support_share\": 0.026896109353918295, \"cumulative_support\": 23193}, {\"value_label\": \"29\", \"support\": 1185, \"support_share\": 0.026210435513481234, \"cumulative_support\": 24378}, {\"value_label\": \"46\", \"support\": 1175, \"support_share\": 0.025989250403662824, \"cumulative_support\": 25553}, {\"value_label\": \"43\", \"support\": 1161, \"support_share\": 0.025679591249917054, \"cumulative_support\": 26714}, {\"value_label\": \"44\", \"support\": 1136, \"support_share\": 0.02512662847537104, \"cumulative_support\": 27850}, {\"value_label\": \"47\", \"support\": 1088, \"support_share\": 0.024064939948242683, \"cumulative_support\": 28938}, {\"value_label\": \"28\", \"support\": 1038, \"support_share\": 0.02295901439915065, \"cumulative_support\": 29976}, {\"value_label\": \"48\", \"support\": 997, \"support_share\": 0.022052155448895182, \"cumulative_support\": 30973}, {\"value_label\": \"49\", \"support\": 994, \"support_share\": 0.021985799915949657, \"cumulative_support\": 31967}, {\"value_label\": \"50\", \"support\": 939, \"support_share\": 0.02076928181194842, \"cumulative_support\": 32906}, {\"value_label\": \"51\", \"support\": 936, \"support_share\": 0.020702926279002897, \"cumulative_support\": 33842}, {\"value_label\": \"52\", \"support\": 911, \"support_share\": 0.02014996350445688, \"cumulative_support\": 34753}, {\"value_label\": \"27\", \"support\": 909, \"support_share\": 0.0201057264824932, \"cumulative_support\": 35662}, {\"value_label\": \"53\", \"support\": 891, \"support_share\": 0.019707593284820066, \"cumulative_support\": 36553}, {\"value_label\": \"57\", \"support\": 828, \"support_share\": 0.0183141270929641, \"cumulative_support\": 37381}, {\"value_label\": \"54\", \"support\": 811, \"support_share\": 0.01793811240627281, \"cumulative_support\": 38192}, {\"value_label\": \"55\", \"support\": 806, \"support_share\": 0.017827519851363605, \"cumulative_support\": 38998}, {\"value_label\": \"26\", \"support\": 805, \"support_share\": 0.017805401340381766, \"cumulative_support\": 39803}, {\"value_label\": \"56\", \"support\": 778, \"support_share\": 0.017208201543872065, \"cumulative_support\": 40581}, {\"value_label\": \"59\", \"support\": 770, \"support_share\": 0.01703125345601734, \"cumulative_support\": 41351}, {\"value_label\": \"58\", \"support\": 740, \"support_share\": 0.01636769812656212, \"cumulative_support\": 42091}, {\"value_label\": \"60\", \"support\": 596, \"support_share\": 0.01318263254517706, \"cumulative_support\": 42687}, {\"value_label\": \"25\", \"support\": 527, \"support_share\": 0.01165645528743005, \"cumulative_support\": 43214}, {\"value_label\": \"24\", \"support\": 302, \"support_share\": 0.006679790316515892, \"cumulative_support\": 43516}, {\"value_label\": \"23\", \"support\": 202, \"support_share\": 0.004467939218331822, \"cumulative_support\": 43718}, {\"value_label\": \"61\", \"support\": 147, \"support_share\": 0.003251421114330583, \"cumulative_support\": 43865}, {\"value_label\": \"22\", \"support\": 129, \"support_share\": 0.002853287916657451, \"cumulative_support\": 43994}, {\"value_label\": \"62\", \"support\": 80, \"support_share\": 0.0017694808785472561, \"cumulative_support\": 44074}, {\"value_label\": \"21\", \"support\": 79, \"support_share\": 0.0017473623675654155, \"cumulative_support\": 44153}, {\"value_label\": \"63\", \"support\": 77, \"support_share\": 0.001703125345601734, \"cumulative_support\": 44230}, {\"value_label\": \"64\", \"support\": 74, \"support_share\": 0.001636769812656212, \"cumulative_support\": 44304}, {\"value_label\": \"70\", \"support\": 67, \"support_share\": 0.001481940235783327, \"cumulative_support\": 44371}, {\"value_label\": \"66\", \"support\": 63, \"support_share\": 0.0013934661918559642, \"cumulative_support\": 44434}, {\"value_label\": \"65\", \"support\": 59, \"support_share\": 0.0013049921479286015, \"cumulative_support\": 44493}, {\"value_label\": \"67\", \"support\": 54, \"support_share\": 0.001194399593019398, \"cumulative_support\": 44547}, {\"value_label\": \"71\", \"support\": 54, \"support_share\": 0.001194399593019398, \"cumulative_support\": 44601}, {\"value_label\": \"72\", \"support\": 52, \"support_share\": 0.0011501625710557165, \"cumulative_support\": 44653}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 22.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..72ac10f595a5f9e8ca6fbb232f974cf86c7ff593 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.584112+00:00", + "ended_at": "2026-05-19T16:32:31.610196+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_e1e2dbb02462c8de", + "problem_id": "v2p_m8_9249f67719b8193f", + "dataset_id": "m8", + "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=age.", + "bindings": { + "group_col": "age" + }, + "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_f/m8/sql/v2q_m8_e1e2dbb02462c8de.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_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e1e2dbb02462c8de/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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1e572fa03d8276fed5fb4eef726adc081720900a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/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": "2026-05-19T16:08:40.385896+00:00", + "ended_at": "2026-05-19T16:08:43.557324+00:00", + "elapsed_ms": 3171.4, + "returncode": 1, + "prompt_metrics": { + "chars": 8965, + "bytes_utf8": 8965, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f753515368f820ced3305f8116cdf15970d299f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/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": "2026-05-19T16:08:44.558834+00:00", + "ended_at": "2026-05-19T16:08:47.716942+00:00", + "elapsed_ms": 3158.08, + "returncode": 1, + "prompt_metrics": { + "chars": 8965, + "bytes_utf8": 8965, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c28f3ee467303fce6d1738f385bf26e41e8e1bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=education, measure_col=duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "education", + "measure_col": "duration", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c28f3ee467303fce6d1738f385bf26e41e8e1bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=education, measure_col=duration.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "education", + "measure_col": "duration", + "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": 254.0, + "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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b09c4e1f9f35cba6322d8fe0426ad83116704fdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-19d3-7bb2-84dc-8fdf84117825"} +{"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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef542f58c4ce0b9758f71736b3e54432ef140b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-19d3-7bb2-84dc-8fdf84117825"} +{"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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6da062e93da3357cf61dfc28ca25d1a737e4c624 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-2a0e-7392-8c01-962aa59a2f5b"} +{"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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6d41bf27139ec290813c754e922b95182c25653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-2a0e-7392-8c01-962aa59a2f5b"} +{"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_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e2643f6bc2c317ae/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be7a640e732038e1338b9847bbcc20c4963b1345 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/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": "2026-05-19T16:10:19.909482+00:00", + "ended_at": "2026-05-19T16:10:23.321913+00:00", + "elapsed_ms": 3412.41, + "returncode": 1, + "prompt_metrics": { + "chars": 8856, + "bytes_utf8": 8856, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..16e67d8ecf2df66572f53099ad853f2edf22d85f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/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": "2026-05-19T16:10:24.323588+00:00", + "ended_at": "2026-05-19T16:10:27.112939+00:00", + "elapsed_ms": 2789.31, + "returncode": 1, + "prompt_metrics": { + "chars": 8856, + "bytes_utf8": 8856, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..78946ea9d847fd3e2d6630958f44d3e203f15f75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=y.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "y", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..78946ea9d847fd3e2d6630958f44d3e203f15f75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=y.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "y", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..501d2baf06da0dd2b33fa264ef3280fca35bfb5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-9e83-7b51-a4c7-daa2e0cc76bc"} +{"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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28dbfa9e5205c47570c8af49fd5508ddbda8935a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-9e83-7b51-a4c7-daa2e0cc76bc"} +{"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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..185973309a90442c36e46d799ef266262065dde2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-afba-7213-839b-562e7be3fa25"} +{"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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..09109a3d072f1967c23bbd89dd485c2190ad57ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-afba-7213-839b-562e7be3fa25"} +{"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_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e414717e8f1716d5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fbb589b5766d079197a2e9286745fc6426cec4ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/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": "2026-05-19T16:29:38.706664+00:00", + "ended_at": "2026-05-19T16:29:41.624423+00:00", + "elapsed_ms": 2917.71, + "returncode": 1, + "prompt_metrics": { + "chars": 8943, + "bytes_utf8": 8943, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a42601fd18b10df17d86d746bd38eb27198880bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/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": "2026-05-19T16:29:42.627169+00:00", + "ended_at": "2026-05-19T16:29:48.019398+00:00", + "elapsed_ms": 5392.16, + "returncode": 1, + "prompt_metrics": { + "chars": 8943, + "bytes_utf8": 8943, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22efad82c9e407276aa8188c605c0512faa75b6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=loan.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "loan", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..22efad82c9e407276aa8188c605c0512faa75b6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=loan.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "loan", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..86acd07bc62ad0af7cec5be975bb8a930436f145 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-4d7b-7753-9b7e-1627c68d41f6"} +{"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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..34150eee29067d51c2c4d5b6de20f496157d21ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-4d7b-7753-9b7e-1627c68d41f6"} +{"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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ea235b8f4465d8d148f190bbce83b4e029e36d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-5ce3-7f51-8208-3939506477a8"} +{"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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8093a3d8f8d66a0e366f0e256b4378bb7325bc01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-5ce3-7f51-8208-3939506477a8"} +{"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_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e4c86606fea49258/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1372733947498c2bd56d961459d5c6f792853301 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:27:26.875087+00:00", + "ended_at": "2026-05-19T16:27:35.075498+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_e5a12597e3181314", + "problem_id": "v2p_m8_8e1487a2ef0331fe", + "dataset_id": "m8", + "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=duration.", + "bindings": { + "measure_col": "duration", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 319.0, + "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=8", + "sql_variant_index=1/1", + "binding_index=115" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "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_f/m8/artifacts/v2q_m8_e5a12597e3181314/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4775e33a6d8a9f81e683f8e0ec19e0cdad8329c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:27:30.510439+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": 3627.69, "started_at": "2026-05-19T16:27:26.881723+00:00", "ended_at": "2026-05-19T16:27:30.509469+00:00", "prompt_metrics": {"chars": 8897, "bytes_utf8": 8897, "lines": 298, "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\":\"019e4110-4a9d-7273-a4b6-d8da59f8f3c5\"}\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": "2026-05-19T16:27:35.075380+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": 3562.47, "started_at": "2026-05-19T16:27:31.511763+00:00", "ended_at": "2026-05-19T16:27:35.074286+00:00", "prompt_metrics": {"chars": 8897, "bytes_utf8": 8897, "lines": 298, "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\":\"019e4110-5cd6-7832-9504-7097a5765646\"}\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_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eb2efbe826c83c9b8be585fa0437a6d736b97038 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/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": "2026-05-19T16:26:44.477068+00:00", + "ended_at": "2026-05-19T16:26:48.006382+00:00", + "elapsed_ms": 3529.25, + "returncode": 1, + "prompt_metrics": { + "chars": 8891, + "bytes_utf8": 8891, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ef8283173faa5dba0637f9567ffb0a1009403e77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/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": "2026-05-19T16:26:49.009391+00:00", + "ended_at": "2026-05-19T16:26:52.469637+00:00", + "elapsed_ms": 3460.17, + "returncode": 1, + "prompt_metrics": { + "chars": 8891, + "bytes_utf8": 8891, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9dfc32d90eff3ec48a1879bb450677b4baee7664 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pdays.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9dfc32d90eff3ec48a1879bb450677b4baee7664 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pdays.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "pdays", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdac7309dfa42f870a986a9771a19bb30554adbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-a4fb-7313-9b56-7e5c82b4d22a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ae9db6b2492eee0b7516da24a9d0ca98c1f789a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-b6ab-71f1-a4d2-c551e0f7efeb"} +{"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_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6297022f0e6a707/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d614fd725e47446e7a443f009d3b7ccb58852f78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:29:03.699957+00:00", + "ended_at": "2026-05-19T16:29:12.174633+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_e6ea5ab247690186", + "problem_id": "v2p_m8_bb7baaa28ad8f59c", + "dataset_id": "m8", + "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=default.", + "bindings": { + "group_col": "default", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_e6ea5ab247690186/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8221cdb1a4ab210ead82395ff51d4d926c36d31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:29:07.708973+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": 4002.74, "started_at": "2026-05-19T16:29:03.705145+00:00", "ended_at": "2026-05-19T16:29:07.707927+00:00", "prompt_metrics": {"chars": 8949, "bytes_utf8": 8949, "lines": 298, "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\":\"019e4111-c4e0-70e0-9516-40b965e93f1d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:29:12.174482+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": 3462.56, "started_at": "2026-05-19T16:29:08.710618+00:00", "ended_at": "2026-05-19T16:29:12.173232+00:00", "prompt_metrics": {"chars": 8949, "bytes_utf8": 8949, "lines": 298, "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\":\"019e4111-d85d-73f2-94d6-9ac6c87032c6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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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_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2f3aa025ee545216977e495f6ef42da7bf5851f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:22.029844+00:00", + "ended_at": "2026-05-19T16:32:31.583689+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_ed6a4c40631b3619", + "problem_id": "v2p_m8_7c78a9bfd0ccac14", + "dataset_id": "m8", + "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=housing, measure_col=age.", + "bindings": { + "group_col": "housing", + "measure_col": "age", + "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": 45.0, + "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=9", + "sql_variant_index=2/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d2c5d4c97c07111b80b87c20b4344750cc3ef78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:32:27.234410+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": 5197.43, "started_at": "2026-05-19T16:32:22.035099+00:00", "ended_at": "2026-05-19T16:32:27.232594+00:00", "prompt_metrics": {"chars": 9033, "bytes_utf8": 9033, "lines": 300, "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\":\"019e4114-cb90-7432-bf61-6a04f0d2e035\"}\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": "2026-05-19T16:32:31.583589+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": 3345.56, "started_at": "2026-05-19T16:32:28.237053+00:00", "ended_at": "2026-05-19T16:32:31.582675+00:00", "prompt_metrics": {"chars": 9033, "bytes_utf8": 9033, "lines": 300, "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\":\"019e4114-e3c5-7482-94d7-5640f9b3afbe\"}\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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b3faae8d6a988f4a97f602761f806a5df9e420f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/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": "2026-05-19T16:25:56.848430+00:00", + "ended_at": "2026-05-19T16:26:00.515243+00:00", + "elapsed_ms": 3666.78, + "returncode": 1, + "prompt_metrics": { + "chars": 9186, + "bytes_utf8": 9186, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9b6b981f170b4de42088a620188a604a4d80b88d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/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": "2026-05-19T16:26:01.518154+00:00", + "ended_at": "2026-05-19T16:26:04.564436+00:00", + "elapsed_ms": 3046.22, + "returncode": 1, + "prompt_metrics": { + "chars": 9186, + "bytes_utf8": 9186, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e34ff13cc1ece4bfc342e3c20c8534269d346b6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=poutcome, condition_col=y.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "poutcome", + "condition_col": "y", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e34ff13cc1ece4bfc342e3c20c8534269d346b6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=poutcome, condition_col=y.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "poutcome", + "condition_col": "y", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": -1.0, + "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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f4112f5626aee1726beeb3d2fcda7dc600b2cac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-eb09-78f0-a798-2848114766f8"} +{"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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2827aae9dada1ac6d9f63e03cbe9a23a83ac2a55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-eb09-78f0-a798-2848114766f8"} +{"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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bacde00970e891b280bbae211e7de8b8b88d0b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-fd35-79a0-a9a9-ff315e8bde9d"} +{"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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..445710a73447dd91b540d769f20da0a2a9be52c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-fd35-79a0-a9a9-ff315e8bde9d"} +{"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_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed96d287de4355b3/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e95fd9014c10ce25306819e19069bca8129f7daa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/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": "2026-05-19T16:27:35.081777+00:00", + "ended_at": "2026-05-19T16:27:38.221314+00:00", + "elapsed_ms": 3139.49, + "returncode": 1, + "prompt_metrics": { + "chars": 8896, + "bytes_utf8": 8896, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..19238b1afa132440e46294f7836fc00e4b61059b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/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": "2026-05-19T16:27:39.224477+00:00", + "ended_at": "2026-05-19T16:27:44.017861+00:00", + "elapsed_ms": 4793.32, + "returncode": 1, + "prompt_metrics": { + "chars": 8896, + "bytes_utf8": 8896, + "lines": 298, + "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_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..500fab0ae50df145736854052c4fe11b9fb1f3ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=campaign.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "campaign", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT 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_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..500fab0ae50df145736854052c4fe11b9fb1f3ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=campaign.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "campaign", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT 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_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8571e87d9e56a8da9fd27635c2eec01cc67cf1c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-6aaa-78b0-b71b-a5a927db38ea"} +{"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_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fb605edc3692dc6cf6aa23503a07ceeb93399c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-6aaa-78b0-b71b-a5a927db38ea"} +{"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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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5444fdd7bb023b5207e77b7376f8be1c3be258a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-7ade-7f02-8198-91fc07a0ade0"} +{"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_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f068bfa6eab163c9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5c62d4c875ea2ada7e6dcef939eabcd71e28e955 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:28:23.152852+00:00", + "ended_at": "2026-05-19T16:28:32.482889+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_f09ee6e79797fdde", + "problem_id": "v2p_m8_db02205b06c6f5e1", + "dataset_id": "m8", + "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": "rare_extreme_view", + "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 rare_extreme_view. Focus on group_col=marital.", + "bindings": { + "group_col": "marital", + "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": 319.0, + "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=3", + "sql_variant_index=1/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9496b57f66e71e48d6738639e376aeff895ac324 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:28:26.647877+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": 3489.07, "started_at": "2026-05-19T16:28:23.157681+00:00", "ended_at": "2026-05-19T16:28:26.646798+00:00", "prompt_metrics": {"chars": 8948, "bytes_utf8": 8948, "lines": 298, "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\":\"019e4111-2662-7082-9c67-0f71c986961b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:28:32.482746+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": 4832.08, "started_at": "2026-05-19T16:28:27.649321+00:00", "ended_at": "2026-05-19T16:28:32.481458+00:00", "prompt_metrics": {"chars": 8948, "bytes_utf8": 8948, "lines": 298, "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\":\"019e4111-37ec-7f71-a1cd-db789bd3e1ef\"}\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_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6771d4bbc09cec2cdb50f786c5fdfe52d6b2edf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "unknown", "support": 36959, "support_share": 0.8174780473778506, "cumulative_support": 36959}, {"value_label": "failure", "support": 4901, "support_share": 0.10840282232200128, "cumulative_support": 41860}, {"value_label": "other", "support": 1840, "support_share": 0.040698060206586895, "cumulative_support": 43700}, {"value_label": "success", "support": 1511, "support_share": 0.0334210700935613, "cumulative_support": 45211}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e4205b1d7e305069a2c6f802cc3eea29a7935d64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_f297db8ec55fc2b8 +-- problem_id: v2p_m8_e6a445a0a5337e01 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "poutcome" AS value_label, COUNT(*) AS support + FROM "m8" + GROUP BY "poutcome" +), 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_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12af3b10a3ab76ccd6c2c9a9d29b84058e9dc0fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/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_f\n-- sql_source_dataset_id: m8\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_m8_f297db8ec55fc2b8\n-- problem_id: v2p_m8_e6a445a0a5337e01\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"poutcome\" AS value_label, COUNT(*) AS support\n FROM \"m8\"\n GROUP BY \"poutcome\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_f297db8ec55fc2b8\\n-- problem_id: v2p_m8_e6a445a0a5337e01\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"poutcome\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m8\\\"\\n GROUP BY \\\"poutcome\\\"\\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\": \"unknown\", \"support\": 36959, \"support_share\": 0.8174780473778506, \"cumulative_support\": 36959}, {\"value_label\": \"failure\", \"support\": 4901, \"support_share\": 0.10840282232200128, \"cumulative_support\": 41860}, {\"value_label\": \"other\", \"support\": 1840, \"support_share\": 0.040698060206586895, \"cumulative_support\": 43700}, {\"value_label\": \"success\", \"support\": 1511, \"support_share\": 0.0334210700935613, \"cumulative_support\": 45211}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e857d23009bf15bc8bc3f764ae5731afd4919ea2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:31.788700+00:00", + "ended_at": "2026-05-19T16:32:31.804309+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_f297db8ec55fc2b8", + "problem_id": "v2p_m8_e6a445a0a5337e01", + "dataset_id": "m8", + "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=poutcome.", + "bindings": { + "group_col": "poutcome" + }, + "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_f/m8/sql/v2q_m8_f297db8ec55fc2b8.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_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f297db8ec55fc2b8/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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..537781f7b6f467ee0dec8e25172fcc9066a17506 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/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": "2026-05-19T16:21:12.146911+00:00", + "ended_at": "2026-05-19T16:21:15.470949+00:00", + "elapsed_ms": 3324.01, + "returncode": 1, + "prompt_metrics": { + "chars": 9123, + "bytes_utf8": 9123, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7a3d817ab6e89833f0065c96950c4995fc4144c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/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": "2026-05-19T16:21:16.473285+00:00", + "ended_at": "2026-05-19T16:21:19.515886+00:00", + "elapsed_ms": 3042.55, + "returncode": 1, + "prompt_metrics": { + "chars": 9123, + "bytes_utf8": 9123, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ff75f0708d5920f04addf7b3ae2f1cd931dc6f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=pdays, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "pdays", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ff75f0708d5920f04addf7b3ae2f1cd931dc6f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=pdays, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "pdays", + "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": 20.0, + "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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a810ed6f6f4e0548e518a63c39472f2deeacc03b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-9249-7ab3-a942-9d1a3e71edc0"} +{"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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4e1865b8a5f9146fae0f7023628123f06de2216 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-9249-7ab3-a942-9d1a3e71edc0"} +{"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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..801a2a843ae16266d3cee9ab4ac0caa10bee9430 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-a338-7620-a7c7-f9a7f975a1cb"} +{"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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b9620793bb5f82fccd7c2319cea0eb89ba29954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-a338-7620-a7c7-f9a7f975a1cb"} +{"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_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5139adf58becb6b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..79bef68e9e95e8cc8fee089f558c5bbceada2f7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"previous": "0", "support": 36954, "avg_response": 40.93242950695459}, {"previous": "1", "support": 2772, "avg_response": 40.523809523809526}, {"previous": "2", "support": 2106, "avg_response": 40.81813865147198}, {"previous": "3", "support": 1142, "avg_response": 41.8922942206655}, {"previous": "4", "support": 714, "avg_response": 40.54621848739496}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f7a9c150ad8400effdd8c557e98fdb9311bc69ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_f +-- sql_source_dataset_id: m8 +-- 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_m8_f5e96c90d6b1ef73 +-- problem_id: v2p_m8_b73801178fdd6866 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "previous", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m8" +GROUP BY "previous" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec0e5cd845f8f035819a7349a079e01011c99e77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/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_f\n-- sql_source_dataset_id: m8\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_m8_f5e96c90d6b1ef73\n-- problem_id: v2p_m8_b73801178fdd6866\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"previous\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m8\"\nGROUP BY \"previous\"\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_f\\n-- sql_source_dataset_id: m8\\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_m8_f5e96c90d6b1ef73\\n-- problem_id: v2p_m8_b73801178fdd6866\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"previous\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m8\\\"\\nGROUP BY \\\"previous\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"previous\", \"support\", \"avg_response\"], \"rows\": [{\"previous\": \"0\", \"support\": 36954, \"avg_response\": 40.93242950695459}, {\"previous\": \"1\", \"support\": 2772, \"avg_response\": 40.523809523809526}, {\"previous\": \"2\", \"support\": 2106, \"avg_response\": 40.81813865147198}, {\"previous\": \"3\", \"support\": 1142, \"avg_response\": 41.8922942206655}, {\"previous\": \"4\", \"support\": 714, \"avg_response\": 40.54621848739496}, {\"previous\": \"5\", \"support\": 459, \"avg_response\": 41.52069716775599}, {\"previous\": \"6\", \"support\": 277, \"avg_response\": 41.27797833935018}, {\"previous\": \"7\", \"support\": 205, \"avg_response\": 42.34146341463415}, {\"previous\": \"8\", \"support\": 129, \"avg_response\": 41.4031007751938}, {\"previous\": \"9\", \"support\": 92, \"avg_response\": 41.43478260869565}, {\"previous\": \"10\", \"support\": 67, \"avg_response\": 40.507462686567166}, {\"previous\": \"11\", \"support\": 65, \"avg_response\": 42.98461538461538}, {\"previous\": \"12\", \"support\": 44, \"avg_response\": 42.90909090909091}, {\"previous\": \"13\", \"support\": 38, \"avg_response\": 41.026315789473685}, {\"previous\": \"15\", \"support\": 20, \"avg_response\": 40.6}, {\"previous\": \"14\", \"support\": 19, \"avg_response\": 37.73684210526316}, {\"previous\": \"17\", \"support\": 15, \"avg_response\": 38.46666666666667}, {\"previous\": \"16\", \"support\": 13, \"avg_response\": 43.92307692307692}, {\"previous\": \"19\", \"support\": 11, \"avg_response\": 40.90909090909091}, {\"previous\": \"20\", \"support\": 8, \"avg_response\": 40.875}, {\"previous\": \"23\", \"support\": 8, \"avg_response\": 40.125}, {\"previous\": \"18\", \"support\": 6, \"avg_response\": 44.166666666666664}, {\"previous\": \"22\", \"support\": 6, \"avg_response\": 36.666666666666664}, {\"previous\": \"24\", \"support\": 5, \"avg_response\": 39.2}, {\"previous\": \"27\", \"support\": 5, \"avg_response\": 37.2}], \"row_count_returned\": 25, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..44ed6debc9908ca8ce2db03e3115bc44d39bc168 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:32:32.249799+00:00", + "ended_at": "2026-05-19T16:32:32.268544+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_f5e96c90d6b1ef73", + "problem_id": "v2p_m8_b73801178fdd6866", + "dataset_id": "m8", + "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=age, key_col=previous.", + "bindings": { + "key_col": "previous", + "measure_col": "age", + "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_f/m8/sql/v2q_m8_f5e96c90d6b1ef73.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_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f5e96c90d6b1ef73/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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4c466dd6c7749c0b87b32dd85d076c568b0961da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/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": "2026-05-19T16:21:43.101746+00:00", + "ended_at": "2026-05-19T16:21:48.380831+00:00", + "elapsed_ms": 5279.06, + "returncode": 1, + "prompt_metrics": { + "chars": 9138, + "bytes_utf8": 9138, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..74a5c18f374e86bdbb47a5208aedefbc4a80a34e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/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": "2026-05-19T16:21:49.383241+00:00", + "ended_at": "2026-05-19T16:21:52.840368+00:00", + "elapsed_ms": 3457.08, + "returncode": 1, + "prompt_metrics": { + "chars": 9138, + "bytes_utf8": 9138, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64ddbaf3e7d74cbb0f305d020bf3e8b72363a82f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=poutcome, measure_col=campaign.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "poutcome", + "measure_col": "campaign", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..64ddbaf3e7d74cbb0f305d020bf3e8b72363a82f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=poutcome, measure_col=campaign.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "poutcome", + "measure_col": "campaign", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ada7b890e5edb8414c09b1faae629a07f552cfa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-0b59-7d51-a840-8d13215cae93"} +{"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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..90d01d08b466dd447b8d5cd3a887a96f8ad3cfd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-0b59-7d51-a840-8d13215cae93"} +{"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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3689ae99adbc0d84d0afe6655490e286e9e8f166 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-23e9-7ea0-8cef-546c6a3822f3"} +{"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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..02e225931d729857f836240e34c3163ecae487c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-23e9-7ea0-8cef-546c6a3822f3"} +{"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_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f68f8ff2b1e69695/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..21592b91d091a1a8b92c59062b1ce0297b7665ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/run_manifest.json @@ -0,0 +1,71 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:11:39.950322+00:00", + "ended_at": "2026-05-19T16:11:47.378788+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_f6972865f5750eef", + "problem_id": "v2p_m8_db0a95c8b25d04e7", + "dataset_id": "m8", + "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=pdays, measure_col=pdays.", + "bindings": { + "group_col": "pdays", + "measure_col": "pdays", + "item_col": "previous", + "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": -1.0, + "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=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", + "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_f/m8/artifacts/v2q_m8_f6972865f5750eef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01ea7a6eb414fc9b547d5d53cee1854d5775e656 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:43.174163+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": 3220.15, "started_at": "2026-05-19T16:11:39.953315+00:00", "ended_at": "2026-05-19T16:11:43.173488+00:00", "prompt_metrics": {"chars": 9355, "bytes_utf8": 9355, "lines": 302, "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-d736-7c83-8e9f-212a069a7ca5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:11:47.378700+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": 3202.87, "started_at": "2026-05-19T16:11:44.174979+00:00", "ended_at": "2026-05-19T16:11:47.377940+00:00", "prompt_metrics": {"chars": 9355, "bytes_utf8": 9355, "lines": 302, "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-e7b8-71b2-9749-12ddcfbbe741\"}\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_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a678cd13bce0c7c7ccfb0abfacc74cb5d697aa03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/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": "2026-05-19T16:14:14.880775+00:00", + "ended_at": "2026-05-19T16:14:18.022120+00:00", + "elapsed_ms": 3141.31, + "returncode": 1, + "prompt_metrics": { + "chars": 9748, + "bytes_utf8": 9748, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..993f566d8ba86c3e2e67790d8e3efad2b4da5726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/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": "2026-05-19T16:14:19.023806+00:00", + "ended_at": "2026-05-19T16:14:21.740129+00:00", + "elapsed_ms": 2716.29, + "returncode": 1, + "prompt_metrics": { + "chars": 9748, + "bytes_utf8": 9748, + "lines": 303, + "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_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07b69a64e08f9c3fde4e1356459bd0fb874f7d45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=month, condition_col=y.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "month", + "condition_col": "y", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..07b69a64e08f9c3fde4e1356459bd0fb874f7d45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=month, condition_col=y.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "month", + "condition_col": "y", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9210d9d7854ef228de7cd6653391822e4f675c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-3487-7da3-ab93-cc597b845313"} +{"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_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a5683cc9c88887b9887dfbd6b03cca14d65d64b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-3487-7da3-ab93-cc597b845313"} +{"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_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6afcb02f61849cb34f474bb169bd87f52953bbb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-44a2-7ff0-a5f2-7d499ae17731"} +{"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_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8090749a5bbbaf0881089b05fbb6c0646e40a47d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-44a2-7ff0-a5f2-7d499ae17731"} +{"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_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f72d3183b0e38b49/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..85d6f27a29337d0a53c6e7ba487bbbcb97cb7ba3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/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": "2026-05-19T16:18:08.913487+00:00", + "ended_at": "2026-05-19T16:18:12.430339+00:00", + "elapsed_ms": 3516.81, + "returncode": 1, + "prompt_metrics": { + "chars": 9499, + "bytes_utf8": 9499, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c29a41249ed948facfed9d992dd5bbacf9b88b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/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": "2026-05-19T16:18:13.432525+00:00", + "ended_at": "2026-05-19T16:18:16.902939+00:00", + "elapsed_ms": 3470.38, + "returncode": 1, + "prompt_metrics": { + "chars": 9499, + "bytes_utf8": 9499, + "lines": 300, + "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_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a86d30655b9b8b9a04672844b1058896ef89fac4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=y, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "y", + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a86d30655b9b8b9a04672844b1058896ef89fac4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=y, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "y", + "measure_col": "campaign", + "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": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..95cfe73549af1ef3744be2fdbe0f63ebdc117b60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-c6ef-7191-b3a7-0fc98680a06d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7764d976c5bc6f7de99cd9631170fcdbdd80784 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-d8e1-7003-887c-87c6bfff17e7"} +{"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_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f9e935e052680ed9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aa320bdb8c910d512d8d2a42190325b7e2f2763d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:29:28.887952+00:00", + "ended_at": "2026-05-19T16:29:38.701867+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_faddd44eb821b0a3", + "problem_id": "v2p_m8_400fbe43adfef467", + "dataset_id": "m8", + "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": "rare_extreme_view", + "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 rare_extreme_view. Focus on group_col=loan.", + "bindings": { + "group_col": "loan", + "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": 48.0, + "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=7", + "sql_variant_index=1/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "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_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f32dd99313d525d4c1298d145f46cf3014f36d72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:29:32.093352+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": 3198.8, "started_at": "2026-05-19T16:29:28.893116+00:00", "ended_at": "2026-05-19T16:29:32.091965+00:00", "prompt_metrics": {"chars": 8941, "bytes_utf8": 8941, "lines": 298, "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\":\"019e4112-272d-7f52-ab2d-e087c71709b9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:29:38.701740+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": 5605.86, "started_at": "2026-05-19T16:29:33.094741+00:00", "ended_at": "2026-05-19T16:29:38.700665+00:00", "prompt_metrics": {"chars": 8941, "bytes_utf8": 8941, "lines": 298, "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\":\"019e4112-37b1-7870-9d68-a55675d28b6d\"}\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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7b6905568c4ddab5235d660cff5836d60e203bf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/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": "2026-05-19T16:12:04.752418+00:00", + "ended_at": "2026-05-19T16:12:08.602573+00:00", + "elapsed_ms": 3850.13, + "returncode": 1, + "prompt_metrics": { + "chars": 9359, + "bytes_utf8": 9359, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9a6d10fe4ecae79e6ab815d726b7929118fd768f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/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": "2026-05-19T16:12:09.605442+00:00", + "ended_at": "2026-05-19T16:12:12.855803+00:00", + "elapsed_ms": 3250.31, + "returncode": 1, + "prompt_metrics": { + "chars": 9359, + "bytes_utf8": 9359, + "lines": 302, + "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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa5abedde3eec954ffd9227212c29e4785fc69f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=poutcome, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "poutcome", + "measure_col": "age", + "item_col": "balance", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa5abedde3eec954ffd9227212c29e4785fc69f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=poutcome, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "poutcome", + "measure_col": "age", + "item_col": "balance", + "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": 48.0, + "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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87ba99a5b5bc471726fd37cafe31a6c7397ddf8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-3818-7830-9bc1-3461f4e6866a"} +{"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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9befcc4cfa9ed878b0c064799654f6a513e67a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-3818-7830-9bc1-3461f4e6866a"} +{"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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a97bf92ad742f0726f5d80e905f8de2d66279496 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-4b09-7c13-9063-8b7cb7bdd1c0"} +{"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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bf119f13f6b36b911f452b2f9632af690b961c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-4b09-7c13-9063-8b7cb7bdd1c0"} +{"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_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fb5e583f8b333e7d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6dc693d9351323f454247a2746dde78d6dbc2f3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:30:11.779308+00:00", + "ended_at": "2026-05-19T16:30:20.250395+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_fca05b2c32c4e60a", + "problem_id": "v2p_m8_a87278e6acd99b71", + "dataset_id": "m8", + "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=previous, measure_col=previous.", + "bindings": { + "group_col": "previous", + "measure_col": "previous", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=2/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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", + "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_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..356306933ccc20ed9d22001e0d99864eaeb138cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:30:15.531881+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": 3747.23, "started_at": "2026-05-19T16:30:11.783676+00:00", "ended_at": "2026-05-19T16:30:15.530951+00:00", "prompt_metrics": {"chars": 9044, "bytes_utf8": 9044, "lines": 300, "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\":\"019e4112-cebf-70e1-9b21-1f91025709dc\"}\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": "2026-05-19T16:30:20.250258+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": 3715.87, "started_at": "2026-05-19T16:30:16.533216+00:00", "ended_at": "2026-05-19T16:30:20.249139+00:00", "prompt_metrics": {"chars": 9044, "bytes_utf8": 9044, "lines": 300, "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\":\"019e4112-e133-7981-9fb2-e4946c044ceb\"}\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_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9339929f4b15493971f7653d7ce2046456ad0b4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8952, "bytes_utf8": 8952, "lines": 300, "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": 348, "bytes_utf8": 348, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14667, "cached_input_tokens": 12032, "output_tokens": 353, "reasoning_output_tokens": 259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f634ac9fcf0781be5cd88558f312d776baa4c67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/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": "m8", + "model": "v2-cli:codex", + "run_id": "v2q_m8_fecacbea7a7130a1", + "api_calls": 0, + "input_tokens": 14667, + "cached_input_tokens": 12032, + "output_tokens": 353, + "total_tokens": 15020, + "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": 10850.93, + "sql_execution_elapsed_ms_total": 17.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/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_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..95591f6dc85caebabae56acd8f52ce312ab5bc0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/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": "2026-05-19T16:09:26.337939+00:00", + "ended_at": "2026-05-19T16:09:37.188892+00:00", + "elapsed_ms": 10850.93, + "prompt_metrics": { + "chars": 8952, + "bytes_utf8": 8952, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 706, + "bytes_utf8": 706, + "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": 348, + "bytes_utf8": 348, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14667, + "cached_input_tokens": 12032, + "output_tokens": 353, + "reasoning_output_tokens": 259 + } + }, + "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_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49e7052b9eb91a85cda34b06cb7afe67a70bfbe8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m8 +- dataset_name: Bank Marketing +- table_name: m8 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `y`. +- task_type: classification +- target_column: y +- main_row_count: 45211 +- important_fields: +- age: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for age. +- job: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for job. +- marital: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for marital. +- education: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for education. +- default: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for default. +- balance: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for balance. +- housing: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for housing. +- loan: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for loan. +- contact: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for contact. +- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day. +- month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for month. +- duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for duration. +- campaign: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for campaign. +- pdays: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for pdays. +- previous: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for previous. +- poutcome: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for poutcome. +- y: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for y. +- useful_field_combinations: [['age', 'job', 'y'], ['age', 'age', 'y']] +- fields_requiring_caution: ['y', 'balance', 'duration', 'pdays'] +- source_url: https://archive.ics.uci.edu/dataset/222/bank+marketing + +SQLite schema snapshot: +{ + "table_name": "m8", + "quoted_table_name": "\"m8\"", + "row_count": 45211, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "job", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "marital", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "education", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "default", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "housing", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "loan", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "contact", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "day", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "duration", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "campaign", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pdays", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "poutcome", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "y", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "58", + "job": "management", + "marital": "married", + "education": "tertiary", + "default": "no", + "balance": "2143", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "261", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "44", + "job": "technician", + "marital": "single", + "education": "secondary", + "default": "no", + "balance": "29", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "151", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "entrepreneur", + "marital": "married", + "education": "secondary", + "default": "no", + "balance": "2", + "housing": "yes", + "loan": "yes", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "76", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "47", + "job": "blue-collar", + "marital": "married", + "education": "unknown", + "default": "no", + "balance": "1506", + "housing": "yes", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "92", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + }, + { + "age": "33", + "job": "unknown", + "marital": "single", + "education": "unknown", + "default": "no", + "balance": "1", + "housing": "no", + "loan": "no", + "contact": "unknown", + "day": "5", + "month": "may", + "duration": "198", + "campaign": "1", + "pdays": "-1", + "previous": "0", + "poutcome": "unknown", + "y": "no" + } + ] +} + +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": "m8", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=loan, measure_col=previous.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "loan", + "measure_col": "previous", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, 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_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c649ec0a4a1b7f44bc9a11e0085f930429a06954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-cd47-7a92-88e7-e7a2105c3070"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"loan\\\", SUM(CAST(\\\"previous\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m8\\\"\\nGROUP BY \\\"loan\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"loan\\\" and measure_col=\\\"previous\\\". CAST was added because the schema stores \\\"previous\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14667,"cached_input_tokens":12032,"output_tokens":353,"reasoning_output_tokens":259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a968800d561162d2b7e47809c9024d782b7eaa96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"loan\", SUM(CAST(\"previous\" AS NUMERIC)) AS total_measure\nFROM \"m8\"\nGROUP BY \"loan\"\nORDER BY total_measure DESC;","notes":"Used the planned Grouped Numeric Sum template with group_col=\"loan\" and measure_col=\"previous\". CAST was added because the schema stores \"previous\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fecacbea7a7130a1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d9bc8234643741f8d7b81bc97d4c455970898c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_f", + "dataset_id": "m8", + "started_at": "2026-05-19T16:29:20.942972+00:00", + "ended_at": "2026-05-19T16:29:28.887508+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m8_ffec138282bf6888", + "problem_id": "v2p_m8_2e9574d38e7500fc", + "dataset_id": "m8", + "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": "rare_extreme_view", + "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 rare_extreme_view. Focus on group_col=housing.", + "bindings": { + "group_col": "housing", + "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": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_f/m8/artifacts/v2q_m8_ffec138282bf6888/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..949db310afb0c5dca01caf75307afdf723cf29e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:29:24.711606+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": 3761.14, "started_at": "2026-05-19T16:29:20.948569+00:00", "ended_at": "2026-05-19T16:29:24.709781+00:00", "prompt_metrics": {"chars": 8948, "bytes_utf8": 8948, "lines": 298, "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\":\"019e4112-081a-7443-882d-9985799b4b28\"}\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": "2026-05-19T16:29:28.887398+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": 3172.91, "started_at": "2026-05-19T16:29:25.713397+00:00", "ended_at": "2026-05-19T16:29:28.886369+00:00", "prompt_metrics": {"chars": 8948, "bytes_utf8": 8948, "lines": 298, "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\":\"019e4112-1ade-7f90-9d62-a80b928c8fb8\"}\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: "}