diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae5bf42c305439fa42c94e4c169f896f4d85d9d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/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": "2026-05-19T16:18:34.940008+00:00", + "ended_at": "2026-05-19T16:18:38.051290+00:00", + "elapsed_ms": 3111.24, + "returncode": 1, + "prompt_metrics": { + "chars": 9500, + "bytes_utf8": 9500, + "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_03895c4299e6337d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0d9d377d7dd561163756f97836930225ffaacdb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/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": "2026-05-19T16:18:39.053673+00:00", + "ended_at": "2026-05-19T16:18:42.313880+00:00", + "elapsed_ms": 3260.16, + "returncode": 1, + "prompt_metrics": { + "chars": 9500, + "bytes_utf8": 9500, + "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_03895c4299e6337d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..355a9ab338b984b758927c58aa63e9d519ca7c7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/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=age, measure_col=pdays.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_03895c4299e6337d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..355a9ab338b984b758927c58aa63e9d519ca7c7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/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=age, measure_col=pdays.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_03895c4299e6337d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f5a15309eda07120c3dd95f1d79602c290d5dcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-2c5a-7843-8a2d-4db9d214b2a8"} +{"type":"turn.started"} +{"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_03895c4299e6337d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e5b9b714dda0642663c2642f15d2296ed12af0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-2c5a-7843-8a2d-4db9d214b2a8"} +{"type":"turn.started"} +{"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_03895c4299e6337d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56135b72737c5af3bd2620464f1ebcecfb0dc225 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-3c73-7621-af9a-af7e7bdce4be"} +{"type":"turn.started"} +{"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_03895c4299e6337d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ddf910c88458d5ec1eb215ccceeb19f7155618d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-3c73-7621-af9a-af7e7bdce4be"} +{"type":"turn.started"} +{"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_03895c4299e6337d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/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_03895c4299e6337d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_03895c4299e6337d/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_06bd583986a0d664/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..40d390a5ae0353c5eb1bf4778a15461894337f17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/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": "2026-05-19T16:12:42.606607+00:00", + "ended_at": "2026-05-19T16:12:45.555488+00:00", + "elapsed_ms": 2948.84, + "returncode": 1, + "prompt_metrics": { + "chars": 9347, + "bytes_utf8": 9347, + "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_06bd583986a0d664/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0f5e05466b9408afa2a01bb76799505de49c00f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/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": "2026-05-19T16:12:46.557803+00:00", + "ended_at": "2026-05-19T16:12:50.216294+00:00", + "elapsed_ms": 3658.44, + "returncode": 1, + "prompt_metrics": { + "chars": 9347, + "bytes_utf8": 9347, + "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_06bd583986a0d664/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..921c80ad3032f2e91f70dc42c31c1eed9a9cd688 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/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=age, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "age", + "measure_col": "day", + "item_col": "duration", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, {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_06bd583986a0d664/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..921c80ad3032f2e91f70dc42c31c1eed9a9cd688 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/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=age, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "age", + "measure_col": "day", + "item_col": "duration", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, {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_06bd583986a0d664/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c82a7cdbac4d074dbcba819c72983a4a0948ee5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-cc0c-7261-9096-f39ffff51e7d"} +{"type":"turn.started"} +{"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_06bd583986a0d664/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54b0271c5de03dd941eb2c63d7ac258b83b10f19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-cc0c-7261-9096-f39ffff51e7d"} +{"type":"turn.started"} +{"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_06bd583986a0d664/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30c9754723193e661544ec92cd8fd8ac6671bc1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-db48-7100-8a65-feb175b46ad5"} +{"type":"turn.started"} +{"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_06bd583986a0d664/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..18c55ac7e9145cd44e4f5e4926fb03a509e51cce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-db48-7100-8a65-feb175b46ad5"} +{"type":"turn.started"} +{"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_06bd583986a0d664/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/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_06bd583986a0d664/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_06bd583986a0d664/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9615094fea119ebe9309615b9cb552ac50ea36b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/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": "2026-05-19T16:12:20.520459+00:00", + "ended_at": "2026-05-19T16:12:23.753458+00:00", + "elapsed_ms": 3232.97, + "returncode": 1, + "prompt_metrics": { + "chars": 9346, + "bytes_utf8": 9346, + "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_0c4031cf0e95f112/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..03d439543c20095bde9285e0ffe518f7b76b7705 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/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": "2026-05-19T16:12:24.756412+00:00", + "ended_at": "2026-05-19T16:12:28.006405+00:00", + "elapsed_ms": 3249.95, + "returncode": 1, + "prompt_metrics": { + "chars": 9346, + "bytes_utf8": 9346, + "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_0c4031cf0e95f112/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2ecc81fc2483e9b37dd04fb87051d91f16363bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/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=y, measure_col=balance.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_0c4031cf0e95f112/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2ecc81fc2483e9b37dd04fb87051d91f16363bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/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=y, measure_col=balance.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_0c4031cf0e95f112/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2f696163014b71ed48ac4156a60ec849cc9f3ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-75a9-72d1-9776-6ec7b9785575"} +{"type":"turn.started"} +{"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_0c4031cf0e95f112/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..adcd82779e4e8684231664cb0e0ad08372f9c568 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-75a9-72d1-9776-6ec7b9785575"} +{"type":"turn.started"} +{"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_0c4031cf0e95f112/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56c3fd09938e6c5b5c7e4c40787c0ecf314655c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-8637-7111-9252-109afd1e35e9"} +{"type":"turn.started"} +{"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_0c4031cf0e95f112/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d853fbf0eb21e9c88bbc9c8ba0869717c0e55a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-8637-7111-9252-109afd1e35e9"} +{"type":"turn.started"} +{"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_0c4031cf0e95f112/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/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_0c4031cf0e95f112/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0c4031cf0e95f112/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b7c1682c3b7d8d57f04e763d33d1d4d63c7de775 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/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": "2026-05-19T16:19:12.143701+00:00", + "ended_at": "2026-05-19T16:19:18.292765+00:00", + "elapsed_ms": 6149.03, + "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_0d9ded01382f8312/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9e5df0c3dad77f0dc13b2ad55f7eddd1f6183bb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/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": "2026-05-19T16:19:19.294676+00:00", + "ended_at": "2026-05-19T16:19:24.296320+00:00", + "elapsed_ms": 5001.6, + "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_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_0d9ded01382f8312/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31d733259e3232100885f4372ec8894656aac79f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/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=education, measure_col=balance.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_0d9ded01382f8312/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..31d733259e3232100885f4372ec8894656aac79f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/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=education, measure_col=balance.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_0d9ded01382f8312/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8cd6372fa80dbd8348530e44a91c6a256bee6ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-bd9a-7f53-a53e-192471d2ce85"} +{"type":"turn.started"} +{"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_0d9ded01382f8312/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c821bde02a7782386afdf754f2e2ca4ffaf5dd63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-bd9a-7f53-a53e-192471d2ce85"} +{"type":"turn.started"} +{"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_0d9ded01382f8312/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce211aecb6246b88df91de8ec96423873e1973e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-d974-7e33-b3e6-304902391b86"} +{"type":"turn.started"} +{"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_0d9ded01382f8312/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d086e13ed6775d60bd0e2f0dc7a3cd3d0127b8a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-d974-7e33-b3e6-304902391b86"} +{"type":"turn.started"} +{"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_0d9ded01382f8312/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/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_0d9ded01382f8312/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0d9ded01382f8312/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_0e094a2304cadc3c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..39e1228e1d80177aca9ceb85171a19df8f1f5d86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/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": "2026-05-19T16:17:19.367592+00:00", + "ended_at": "2026-05-19T16:17:22.735272+00:00", + "elapsed_ms": 3367.64, + "returncode": 1, + "prompt_metrics": { + "chars": 9129, + "bytes_utf8": 9129, + "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_0e094a2304cadc3c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a5afb45ab1e832d13a3bf87007288e8b628e6887 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/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": "2026-05-19T16:17:23.737702+00:00", + "ended_at": "2026-05-19T16:17:26.896895+00:00", + "elapsed_ms": 3159.14, + "returncode": 1, + "prompt_metrics": { + "chars": 9129, + "bytes_utf8": 9129, + "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_0e094a2304cadc3c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cabdf1341197a0cec6dababd67a8a9f35faf65cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/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=campaign.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_0e094a2304cadc3c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cabdf1341197a0cec6dababd67a8a9f35faf65cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/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=campaign.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_0e094a2304cadc3c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3a53e477536423363c8312e0f87b92e4e34582e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-0562-7e21-8667-ff95d43673c4"} +{"type":"turn.started"} +{"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_0e094a2304cadc3c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..daccba10d1ede471f590054ca1f4db0e2535bc3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-0562-7e21-8667-ff95d43673c4"} +{"type":"turn.started"} +{"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_0e094a2304cadc3c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cf0a924a18b96628bfa8cc2143019f670719ffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-169d-76b1-b322-762c822d4d62"} +{"type":"turn.started"} +{"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_0e094a2304cadc3c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7b7119112928ba8aac24c1ba0277d6bc0e9969b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-169d-76b1-b322-762c822d4d62"} +{"type":"turn.started"} +{"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_0e094a2304cadc3c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/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_0e094a2304cadc3c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_0e094a2304cadc3c/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f9ded5306870e1238e6cf771fd0d63e849be8bdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/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": "2026-05-19T16:11:16.891320+00:00", + "ended_at": "2026-05-19T16:11:20.138131+00:00", + "elapsed_ms": 3246.78, + "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_11321e5fdef072fa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2d8b9e1e0d99d464fdcdf46ecf1c6f1ab2e65898 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/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": "2026-05-19T16:11:21.139886+00:00", + "ended_at": "2026-05-19T16:11:24.177587+00:00", + "elapsed_ms": 3037.66, + "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_11321e5fdef072fa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bf76ef8f27d88ef52b8ece3a03861719c783a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/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=campaign, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_11321e5fdef072fa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bf76ef8f27d88ef52b8ece3a03861719c783a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/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=campaign, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_11321e5fdef072fa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab4902e70ec91242f4729b256b5a7617dfaebd46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-7d27-7e22-91ff-8360fdf95262"} +{"type":"turn.started"} +{"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_11321e5fdef072fa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2f443bf566367e9b7687aa05e61ff01cff44743 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-7d27-7e22-91ff-8360fdf95262"} +{"type":"turn.started"} +{"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_11321e5fdef072fa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9dd38106a495d7e4d2e235078559e92a476da2c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-8db0-7070-acd8-14afdec57706"} +{"type":"turn.started"} +{"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_11321e5fdef072fa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..63bf441bb1fba082ab53829c6e91fd137a57fda3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-8db0-7070-acd8-14afdec57706"} +{"type":"turn.started"} +{"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_11321e5fdef072fa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/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_11321e5fdef072fa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_11321e5fdef072fa/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_13c9e9fe9e077e2d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..10919a302899002a9cb24f19a74785a74e680ef1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/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": "2026-05-19T16:28:08.604240+00:00", + "ended_at": "2026-05-19T16:28:12.023489+00:00", + "elapsed_ms": 3419.21, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "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_13c9e9fe9e077e2d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a7504351acc1b3f39e829c3ddb688d110ab08d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/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": "2026-05-19T16:28:13.027165+00:00", + "ended_at": "2026-05-19T16:28:23.149980+00:00", + "elapsed_ms": 10122.75, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "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_13c9e9fe9e077e2d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..39559e5cc7a26a2db99cab56dd051fedd1a8ffe3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/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 rare_extreme_view. Focus on group_col=job.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_13c9e9fe9e077e2d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..39559e5cc7a26a2db99cab56dd051fedd1a8ffe3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/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 rare_extreme_view. Focus on group_col=job.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_13c9e9fe9e077e2d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..65b226647fbf8bba81a312bd0be1cdca5252c69c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-edb2-70a1-901c-2d0612dba4fa"} +{"type":"turn.started"} +{"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_13c9e9fe9e077e2d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..42722915fb425f8e020ce40a47800b6e9a5b01cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-edb2-70a1-901c-2d0612dba4fa"} +{"type":"turn.started"} +{"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_13c9e9fe9e077e2d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b4732b0b582b1b84eb12f0bc4e4005b073c4518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-fecc-7ae2-98ae-3e494e43d020"} +{"type":"turn.started"} +{"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_13c9e9fe9e077e2d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c145660f0dbd36cece88c193920963691949126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-fecc-7ae2-98ae-3e494e43d020"} +{"type":"turn.started"} +{"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_13c9e9fe9e077e2d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/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_13c9e9fe9e077e2d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_13c9e9fe9e077e2d/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9e5540aebf1933feaad437c790d2c6d1e3ecaf49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/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": "2026-05-19T16:19:31.197170+00:00", + "ended_at": "2026-05-19T16:19:34.460958+00:00", + "elapsed_ms": 3263.76, + "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_1772df822c2801a5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c0c20bd6ee6a1f059e85f925855aa9e1df2eff8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/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": "2026-05-19T16:19:35.463312+00:00", + "ended_at": "2026-05-19T16:19:38.956544+00:00", + "elapsed_ms": 3493.18, + "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_1772df822c2801a5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9df531501de5ddb0ba053eaeb1ee7f42607ac6f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/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=default, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_1772df822c2801a5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9df531501de5ddb0ba053eaeb1ee7f42607ac6f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/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=default, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_1772df822c2801a5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a36e6c11752ead4ed2fa516e277835387eaccd5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-0816-7af1-b103-a651a7b1b09c"} +{"type":"turn.started"} +{"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_1772df822c2801a5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f7a816188ef5ce3d4eb3de7ac64334dff1c9470 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-0816-7af1-b103-a651a7b1b09c"} +{"type":"turn.started"} +{"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_1772df822c2801a5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db0c0a60d6161f838e2a56bc160de94c2d70aee6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-18c4-7b21-b9f1-c3573961ec0b"} +{"type":"turn.started"} +{"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_1772df822c2801a5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d27704b29eb6dc7afcd12c09a6aa7d36401ad512 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-18c4-7b21-b9f1-c3573961ec0b"} +{"type":"turn.started"} +{"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_1772df822c2801a5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/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_1772df822c2801a5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1772df822c2801a5/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..20fc0a27a16c01090a0b29a0ac209f96481477fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/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": "2026-05-19T16:23:10.620844+00:00", + "ended_at": "2026-05-19T16:23:14.139213+00:00", + "elapsed_ms": 3518.33, + "returncode": 1, + "prompt_metrics": { + "chars": 9137, + "bytes_utf8": 9137, + "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_1a895a04aca80346/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..94ce864c7efb200c2902047e405883663142bde5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/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": "2026-05-19T16:23:15.141742+00:00", + "ended_at": "2026-05-19T16:23:23.090421+00:00", + "elapsed_ms": 7948.62, + "returncode": 1, + "prompt_metrics": { + "chars": 9137, + "bytes_utf8": 9137, + "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_1a895a04aca80346/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..829d28b5dd92091c9c20f51c51864e76886787be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/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=marital, measure_col=balance.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_1a895a04aca80346/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..829d28b5dd92091c9c20f51c51864e76886787be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/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=marital, measure_col=balance.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_1a895a04aca80346/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c2868ae4734ebf0323f3e33674aee45154c9aad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-61b0-78c0-9264-b0fa24b1d00c"} +{"type":"turn.started"} +{"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_1a895a04aca80346/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4cfaa0c7b2810d5d70736c2dd3fe1ee16cc4889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-61b0-78c0-9264-b0fa24b1d00c"} +{"type":"turn.started"} +{"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_1a895a04aca80346/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29c0fadd9414e9de13c40e19e27b00eca1b3532d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-7347-7073-ba7f-2380bd2e8dcf"} +{"type":"turn.started"} +{"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_1a895a04aca80346/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4abbfa9b197d18228e6329b80f63711af25d0e16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-7347-7073-ba7f-2380bd2e8dcf"} +{"type":"turn.started"} +{"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_1a895a04aca80346/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/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_1a895a04aca80346/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1a895a04aca80346/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_1ace35bdde954131/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..27f3e3b7f61278d9d037659f174d2a7ef41faf1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/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": "2026-05-19T16:23:40.816237+00:00", + "ended_at": "2026-05-19T16:23:44.280527+00:00", + "elapsed_ms": 3464.24, + "returncode": 1, + "prompt_metrics": { + "chars": 9133, + "bytes_utf8": 9133, + "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_1ace35bdde954131/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..09442567fdef0449fe2b8f177337aed7ece7dfa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/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": "2026-05-19T16:23:45.282695+00:00", + "ended_at": "2026-05-19T16:23:56.599381+00:00", + "elapsed_ms": 11316.64, + "returncode": 1, + "prompt_metrics": { + "chars": 9133, + "bytes_utf8": 9133, + "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_1ace35bdde954131/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e34aa921e33836a9336cd3acbfd0b95139fa5e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/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=education, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_1ace35bdde954131/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e34aa921e33836a9336cd3acbfd0b95139fa5e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/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=education, measure_col=day.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_1ace35bdde954131/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c54b47561b1c4346af1595104b61e76775b06642 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-d782-7bc1-baf5-79f5ae570818"} +{"type":"turn.started"} +{"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_1ace35bdde954131/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6696c83369ee0229d364365ad51bf15d35ff6418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-d782-7bc1-baf5-79f5ae570818"} +{"type":"turn.started"} +{"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_1ace35bdde954131/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b37136e7a80fee4077c00f1b6c4629663a755522 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-e900-7ba3-b3d9-81180c3a6a83"} +{"type":"turn.started"} +{"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_1ace35bdde954131/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..08ae2b928ccca8805d4d6d65d02d0e8b5e3d59f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410c-e900-7ba3-b3d9-81180c3a6a83"} +{"type":"turn.started"} +{"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_1ace35bdde954131/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/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_1ace35bdde954131/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1ace35bdde954131/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_1daf75010e14310a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c37ba12439280f8fc1a8a10b8a485a5208b92fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/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": "2026-05-19T16:30:44.570965+00:00", + "ended_at": "2026-05-19T16:30:48.438499+00:00", + "elapsed_ms": 3867.49, + "returncode": 1, + "prompt_metrics": { + "chars": 9030, + "bytes_utf8": 9030, + "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_1daf75010e14310a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fe04e90de5d7a331561aa09f308dcf87b16a4d0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/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": "2026-05-19T16:30:49.440771+00:00", + "ended_at": "2026-05-19T16:30:53.035467+00:00", + "elapsed_ms": 3594.64, + "returncode": 1, + "prompt_metrics": { + "chars": 9030, + "bytes_utf8": 9030, + "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_1daf75010e14310a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49c8a0534f0dea0f2f41bfbd11575d117198b820 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/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 ranked_signal_view. Focus on group_col=y, measure_col=balance.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_1daf75010e14310a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..49c8a0534f0dea0f2f41bfbd11575d117198b820 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/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 ranked_signal_view. Focus on group_col=y, measure_col=balance.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_1daf75010e14310a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3f79c7db716b06f8cc0c658e911a8317de197a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-4efc-7a90-8c9b-80c82d7f8726"} +{"type":"turn.started"} +{"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_1daf75010e14310a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ada8ce311bd4937b49c758fdd33f39b0a3701faa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-4efc-7a90-8c9b-80c82d7f8726"} +{"type":"turn.started"} +{"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_1daf75010e14310a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..96d9ae2cd1e5b39816f1f145f07e4bf54fd3610d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-61dc-71a2-ba55-598e777f99e0"} +{"type":"turn.started"} +{"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_1daf75010e14310a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a78ee0257c3dfaa9af41fa6dcf6e52ec8904764 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-61dc-71a2-ba55-598e777f99e0"} +{"type":"turn.started"} +{"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_1daf75010e14310a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/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_1daf75010e14310a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1daf75010e14310a/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_1f04db2e8300b993/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b0affcea60f87e7798af43a1a54e0c28f000cc30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/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": "2026-05-19T16:15:58.711041+00:00", + "ended_at": "2026-05-19T16:16:03.740671+00:00", + "elapsed_ms": 5029.6, + "returncode": 1, + "prompt_metrics": { + "chars": 9266, + "bytes_utf8": 9266, + "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_1f04db2e8300b993/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b56c71e12afbdeefdfa3dfda418f336769dc2dcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/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": "2026-05-19T16:16:04.742975+00:00", + "ended_at": "2026-05-19T16:16:07.939753+00:00", + "elapsed_ms": 3196.7, + "returncode": 1, + "prompt_metrics": { + "chars": 9266, + "bytes_utf8": 9266, + "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_1f04db2e8300b993/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f0e32e8d56c52e9ec362cd9ec71b91bd04a44a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/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=campaign.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_1f04db2e8300b993/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f0e32e8d56c52e9ec362cd9ec71b91bd04a44a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/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=campaign.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_1f04db2e8300b993/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4177ac39a85b04f64218ac36ac6f0e3d3b237795 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-c9fa-7ec3-bc00-a7c523034c50"} +{"type":"turn.started"} +{"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_1f04db2e8300b993/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5b6180e9405cb84b697fa9011c2e0e3d78d8051 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-c9fa-7ec3-bc00-a7c523034c50"} +{"type":"turn.started"} +{"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_1f04db2e8300b993/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4fc4b2dfae0c65c1059877b5dc821fd5c74bbc31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-e26a-7772-89e0-6d2737d723a0"} +{"type":"turn.started"} +{"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_1f04db2e8300b993/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..67ae5543a3473f73636b159e8f6f42e9798fe10b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-e26a-7772-89e0-6d2737d723a0"} +{"type":"turn.started"} +{"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_1f04db2e8300b993/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/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_1f04db2e8300b993/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1f04db2e8300b993/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_1fbe48544015df21/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61b23d13dbadcade330b489fd0a1a465f787f922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/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": "2026-05-19T16:16:54.872246+00:00", + "ended_at": "2026-05-19T16:16:58.156588+00:00", + "elapsed_ms": 3284.3, + "returncode": 1, + "prompt_metrics": { + "chars": 9131, + "bytes_utf8": 9131, + "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_1fbe48544015df21/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ff013842a6da293f12c96b30028a89602e4410c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/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": "2026-05-19T16:16:59.159729+00:00", + "ended_at": "2026-05-19T16:17:02.925162+00:00", + "elapsed_ms": 3765.36, + "returncode": 1, + "prompt_metrics": { + "chars": 9131, + "bytes_utf8": 9131, + "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_1fbe48544015df21/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc946d76f75d26b983e548987c078ccf6bed3c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/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=balance.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_1fbe48544015df21/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc946d76f75d26b983e548987c078ccf6bed3c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/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=balance.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_1fbe48544015df21/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0804435909ee2c1aec48e02a446c3332496f40b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-a5cf-7381-9100-348370465a18"} +{"type":"turn.started"} +{"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_1fbe48544015df21/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb6d64d036dfc2cbf6f1c7553c2371d9379da9be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-a5cf-7381-9100-348370465a18"} +{"type":"turn.started"} +{"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_1fbe48544015df21/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c0311c7f07eab0ff27f58d38969c7288e78f96b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-b69f-7e51-91f5-77b327161dde"} +{"type":"turn.started"} +{"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_1fbe48544015df21/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f739df20e1b447216348b2048f167b5e16707f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-b69f-7e51-91f5-77b327161dde"} +{"type":"turn.started"} +{"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_1fbe48544015df21/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/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_1fbe48544015df21/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_1fbe48544015df21/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_20351341a5bd447d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a519d3e3341b079462e1329400daea8c52155c65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/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": "2026-05-19T16:15:26.903299+00:00", + "ended_at": "2026-05-19T16:15:30.053355+00:00", + "elapsed_ms": 3150.03, + "returncode": 1, + "prompt_metrics": { + "chars": 9255, + "bytes_utf8": 9255, + "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_20351341a5bd447d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..54f9f2057c07124710f0fbbe37a9cb5e37194e97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/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": "2026-05-19T16:15:31.056542+00:00", + "ended_at": "2026-05-19T16:15:34.061319+00:00", + "elapsed_ms": 3004.73, + "returncode": 1, + "prompt_metrics": { + "chars": 9255, + "bytes_utf8": 9255, + "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_20351341a5bd447d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..daac89dbede49dee7e3e4cad751a74a0c1cd5b25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/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=loan.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_20351341a5bd447d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..daac89dbede49dee7e3e4cad751a74a0c1cd5b25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/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=loan.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_20351341a5bd447d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c01a552e8b74f4cc6a81e6844914a8cfa996e78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-4ddc-7ae0-8f82-79f4dd46483b"} +{"type":"turn.started"} +{"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_20351341a5bd447d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..18039d6c6dfcd7c5826f9c211167ca268ec491b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-4ddc-7ae0-8f82-79f4dd46483b"} +{"type":"turn.started"} +{"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_20351341a5bd447d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..20b71d5fc27521953f9b7d3df7bd74df1f4b4a9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-5df3-71d2-97e6-822284063494"} +{"type":"turn.started"} +{"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_20351341a5bd447d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..993450c959767d32402bb45ce95ed9ede0e3a1ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-5df3-71d2-97e6-822284063494"} +{"type":"turn.started"} +{"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_20351341a5bd447d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/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_20351341a5bd447d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_20351341a5bd447d/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_203d9a16742679f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..13318bb91f12030358579a7b3bb7351d2c87aad9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/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": "2026-05-19T16:13:05.736543+00:00", + "ended_at": "2026-05-19T16:13:08.920237+00:00", + "elapsed_ms": 3183.67, + "returncode": 1, + "prompt_metrics": { + "chars": 9364, + "bytes_utf8": 9364, + "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_203d9a16742679f8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8265af0d5989fcfad41002c7c81e3472a4adc115 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/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": "2026-05-19T16:13:09.922816+00:00", + "ended_at": "2026-05-19T16:13:13.327297+00:00", + "elapsed_ms": 3404.43, + "returncode": 1, + "prompt_metrics": { + "chars": 9364, + "bytes_utf8": 9364, + "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_203d9a16742679f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..648d07922934fc0274f8b810740a035d94e89ef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/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=marital, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "marital", + "measure_col": "campaign", + "item_col": "pdays", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {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_203d9a16742679f8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..648d07922934fc0274f8b810740a035d94e89ef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/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=marital, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "marital", + "measure_col": "campaign", + "item_col": "pdays", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {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_203d9a16742679f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8ac3b7db3ca14d25378decbebfefe42c5a5e5b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-266f-74d3-ade7-b9f5862d6422"} +{"type":"turn.started"} +{"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_203d9a16742679f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e90668d1ba95ebad2376ae8f11f8ad04b8d5677 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-266f-74d3-ade7-b9f5862d6422"} +{"type":"turn.started"} +{"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_203d9a16742679f8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b38a03423850b4d8cf7d69060c387439e2c072c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-369a-7510-a70f-8f17625f2bb9"} +{"type":"turn.started"} +{"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_203d9a16742679f8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdc4f5323efbb9c74007be507fe6763eac96eb2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-369a-7510-a70f-8f17625f2bb9"} +{"type":"turn.started"} +{"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_203d9a16742679f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/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_203d9a16742679f8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_203d9a16742679f8/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_23d11585a04cd38a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..033597e29f69655d35fcd5634e623381f1a549f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/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": "2026-05-19T16:09:44.613151+00:00", + "ended_at": "2026-05-19T16:09:47.408944+00:00", + "elapsed_ms": 2795.77, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "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_23d11585a04cd38a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18e70467dfab8639d2a5d2292e50d3a7171920ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/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": "2026-05-19T16:09:48.410515+00:00", + "ended_at": "2026-05-19T16:09:51.675920+00:00", + "elapsed_ms": 3265.38, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "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_23d11585a04cd38a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a58d214b9af69ef0785684c77ae1b912bb77287 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/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=contact, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_23d11585a04cd38a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a58d214b9af69ef0785684c77ae1b912bb77287 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/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=contact, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_23d11585a04cd38a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..98b56dd62f661326591648192a70b8a6feccf4ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-14bc-7623-9725-3aa5f1210280"} +{"type":"turn.started"} +{"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_23d11585a04cd38a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..13c7e56b2adbae748b10026c170572ecba8de5d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-14bc-7623-9725-3aa5f1210280"} +{"type":"turn.started"} +{"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_23d11585a04cd38a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd6b9df14626b8b15dead924afe061b427fb9f8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-237f-7d13-a6df-25d24ff88828"} +{"type":"turn.started"} +{"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_23d11585a04cd38a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..15d9403bee607ac6678d61b6a568d6e3eeaf4238 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-237f-7d13-a6df-25d24ff88828"} +{"type":"turn.started"} +{"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_23d11585a04cd38a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/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_23d11585a04cd38a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_23d11585a04cd38a/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_285c672ec48f09f9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..151013329081bc132cc7aa4060b666c27e62203f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/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": "2026-05-19T16:09:37.212361+00:00", + "ended_at": "2026-05-19T16:09:40.441397+00:00", + "elapsed_ms": 3229.01, + "returncode": 1, + "prompt_metrics": { + "chars": 8947, + "bytes_utf8": 8947, + "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_285c672ec48f09f9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..30bc8f6ebfdb5151fb7e5f9f7d198be2d2c46f9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/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": "2026-05-19T16:09:41.443892+00:00", + "ended_at": "2026-05-19T16:09:44.608863+00:00", + "elapsed_ms": 3164.92, + "returncode": 1, + "prompt_metrics": { + "chars": 8947, + "bytes_utf8": 8947, + "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_285c672ec48f09f9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92f6dd0862828c4f2e330d40762e01f54a92aebe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/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=contact, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "contact", + "measure_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": 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_285c672ec48f09f9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..92f6dd0862828c4f2e330d40762e01f54a92aebe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/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=contact, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "contact", + "measure_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": 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_285c672ec48f09f9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4434cbddc2144ff3df71d5e9b0d1dd02407cbc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f7d0-7e40-a158-a937256ff631"} +{"type":"turn.started"} +{"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_285c672ec48f09f9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..da433754b3e83baa9f58360fd298ca3d46645467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f7d0-7e40-a158-a937256ff631"} +{"type":"turn.started"} +{"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_285c672ec48f09f9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8376561843affc1a57cf27496ac932d3267fff13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-084f-7232-8fa8-5cdfcf0b863b"} +{"type":"turn.started"} +{"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_285c672ec48f09f9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5f76da649bf836a694bec288b91642fca290b41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-084f-7232-8fa8-5cdfcf0b863b"} +{"type":"turn.started"} +{"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_285c672ec48f09f9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/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_285c672ec48f09f9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_285c672ec48f09f9/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_2daa45dee2d10f01/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5307486c532b9b9be7f0d7250a629dc0f7952f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/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": "2026-05-19T16:29:48.025815+00:00", + "ended_at": "2026-05-19T16:29:51.022540+00:00", + "elapsed_ms": 2996.68, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "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_2daa45dee2d10f01/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84a70649cce48bbd6eefdaa8def1854a7088b104 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/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": "2026-05-19T16:29:52.025300+00:00", + "ended_at": "2026-05-19T16:29:55.607862+00:00", + "elapsed_ms": 3582.49, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "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_2daa45dee2d10f01/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d41b0aa67a4bdd3cd595b5283a3c04cc6f0f80e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/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=contact.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_2daa45dee2d10f01/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d41b0aa67a4bdd3cd595b5283a3c04cc6f0f80e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/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=contact.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_2daa45dee2d10f01/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bded48a247d94732c168b8174f0e5b2167fc981a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-71d5-7f51-9d3f-fb568c422646"} +{"type":"turn.started"} +{"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_2daa45dee2d10f01/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85c0ed8b6b2a3bc8a6a253ad8926e91a84e6cb43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-71d5-7f51-9d3f-fb568c422646"} +{"type":"turn.started"} +{"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_2daa45dee2d10f01/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d742c7e1faf4cdd2cc1a66ae954feb47d152ad74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-8192-7400-a8bb-bd0a314930ed"} +{"type":"turn.started"} +{"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_2daa45dee2d10f01/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..86bbc00a8767668f9afdad2c6d01946e8651f80f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-8192-7400-a8bb-bd0a314930ed"} +{"type":"turn.started"} +{"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_2daa45dee2d10f01/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/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_2daa45dee2d10f01/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_2daa45dee2d10f01/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_36725a453b59af1b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a330c24b77f8b176d1128ceb45ce173e8141e349 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/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": "2026-05-19T16:14:33.557708+00:00", + "ended_at": "2026-05-19T16:14:36.919753+00:00", + "elapsed_ms": 3362.02, + "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_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_36725a453b59af1b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b2c3ec37ec9abb141f7784762656e1857fe2093 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_36725a453b59af1b/cli/sql_response_attempt_2.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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d60f1f58c87f6bf7a61ac378c0d0c3614329258f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/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": "2026-05-19T16:25:06.569141+00:00", + "ended_at": "2026-05-19T16:25:10.040561+00:00", + "elapsed_ms": 3471.38, + "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_3b8620418e31fda7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6cf9f6b5ea20a7fd5d268c1c43910a1ae228fc87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/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": "2026-05-19T16:25:11.043815+00:00", + "ended_at": "2026-05-19T16:25:16.146936+00:00", + "elapsed_ms": 5103.06, + "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_3b8620418e31fda7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58800fd3ed1744580cd69befeeb850c3f13e93b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/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=campaign, condition_col=loan.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "campaign", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 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_3b8620418e31fda7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..58800fd3ed1744580cd69befeeb850c3f13e93b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/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=campaign, condition_col=loan.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "campaign", + "condition_col": "loan", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 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_3b8620418e31fda7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f07a4c8d2dc586ba3cbac07bcd8fe649acda780b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-2688-7892-968c-306ff500c3a9"} +{"type":"turn.started"} +{"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_3b8620418e31fda7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a98013c7f70de49c023966b4a4424446b38f7ed9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-2688-7892-968c-306ff500c3a9"} +{"type":"turn.started"} +{"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_3b8620418e31fda7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e29ee57aeadc0b9f78e1cbf08962e274dfb5b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-37f2-70a3-894c-8a51f04be62d"} +{"type":"turn.started"} +{"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_3b8620418e31fda7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5da976340d1bde8aed53e018c879ed2172e4d26e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-37f2-70a3-894c-8a51f04be62d"} +{"type":"turn.started"} +{"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_3b8620418e31fda7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/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_3b8620418e31fda7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3b8620418e31fda7/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a501af1ece0ea7a194289b87713a7ca307a79bbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/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": "2026-05-19T16:31:41.245260+00:00", + "ended_at": "2026-05-19T16:31:45.953648+00:00", + "elapsed_ms": 4708.34, + "returncode": 1, + "prompt_metrics": { + "chars": 9042, + "bytes_utf8": 9042, + "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_3cfa0aae4f67f0fc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..00b73376318940e77eaa4160f22ae3526a78eb01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/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": "2026-05-19T16:31:46.956848+00:00", + "ended_at": "2026-05-19T16:31:50.212132+00:00", + "elapsed_ms": 3255.21, + "returncode": 1, + "prompt_metrics": { + "chars": 9042, + "bytes_utf8": 9042, + "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_3cfa0aae4f67f0fc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5dce6a290538e954b0bbb8c8405012f62b680f6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/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=education, measure_col=pdays.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_3cfa0aae4f67f0fc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5dce6a290538e954b0bbb8c8405012f62b680f6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/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=education, measure_col=pdays.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_3cfa0aae4f67f0fc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b0244df02c4ef785c1f0f524403e81f62b29ce8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-2c0d-7542-a7fb-b86c7b56ef78"} +{"type":"turn.started"} +{"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_3cfa0aae4f67f0fc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d049e7477f31f950ed3e0c505430b0ab1895463f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-2c0d-7542-a7fb-b86c7b56ef78"} +{"type":"turn.started"} +{"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_3cfa0aae4f67f0fc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eee3589dd28882540dbdf332af71580ac4f2ea4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-4287-7432-a15d-854d54c9ccf7"} +{"type":"turn.started"} +{"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_3cfa0aae4f67f0fc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..266b8b7b072ffc373122217bf6277c523e9b57a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-4287-7432-a15d-854d54c9ccf7"} +{"type":"turn.started"} +{"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_3cfa0aae4f67f0fc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/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_3cfa0aae4f67f0fc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_3cfa0aae4f67f0fc/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_431632763cbad250/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..185f6cd2f85f9140617d910daceb3a50125da654 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/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": "2026-05-19T16:09:04.242627+00:00", + "ended_at": "2026-05-19T16:09:07.050475+00:00", + "elapsed_ms": 2807.82, + "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_431632763cbad250/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d9ef9aab4f43217cb1f98e101971b34bab019279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/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": "2026-05-19T16:09:08.052395+00:00", + "ended_at": "2026-05-19T16:09:11.629492+00:00", + "elapsed_ms": 3577.07, + "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_431632763cbad250/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f7bceb8d248c54ccba3e6be8e7d195f7c6df605 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/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": 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 + }, + "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_431632763cbad250/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f7bceb8d248c54ccba3e6be8e7d195f7c6df605 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/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": 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 + }, + "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_431632763cbad250/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..074b3983d7d13657da7e0602428970129dc30413 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-76ea-7853-93fb-f13886c4b3bf"} +{"type":"turn.started"} +{"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_431632763cbad250/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d76d096d30a975a447ef85f740902682b864658d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-76ea-7853-93fb-f13886c4b3bf"} +{"type":"turn.started"} +{"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_431632763cbad250/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f7a9f9ba53127c9a95722727fdda1229d698137 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-85c8-73d2-816a-68326e00de16"} +{"type":"turn.started"} +{"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_431632763cbad250/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb2738563b0a2cf46849e05e91b5c1c88e17bbb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-85c8-73d2-816a-68326e00de16"} +{"type":"turn.started"} +{"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_431632763cbad250/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/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_431632763cbad250/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_431632763cbad250/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_44573791e8068554/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8df535c15284b33374cb77183878f5e40f9f31bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/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": "2026-05-19T16:16:20.383270+00:00", + "ended_at": "2026-05-19T16:16:23.362866+00:00", + "elapsed_ms": 2979.55, + "returncode": 1, + "prompt_metrics": { + "chars": 9130, + "bytes_utf8": 9130, + "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_44573791e8068554/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ab453cdbe74ac2eb8c3dce75bf543b6ea05e2494 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/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": "2026-05-19T16:16:24.366215+00:00", + "ended_at": "2026-05-19T16:16:27.611023+00:00", + "elapsed_ms": 3244.72, + "returncode": 1, + "prompt_metrics": { + "chars": 9130, + "bytes_utf8": 9130, + "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_44573791e8068554/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a928bfd0627618eb81d0924522a14bd0206d1f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/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=campaign.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "campaign", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH 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_44573791e8068554/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a928bfd0627618eb81d0924522a14bd0206d1f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/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=campaign.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "campaign", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH 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_44573791e8068554/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..449f65c749c40fe86349a7e0ac9ad699bf8d98fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-1efc-7151-a23f-1e2eb192d54c"} +{"type":"turn.started"} +{"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_44573791e8068554/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70c20ebfa5af119d0e3268c9ef25c57655c6671a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-1efc-7151-a23f-1e2eb192d54c"} +{"type":"turn.started"} +{"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_44573791e8068554/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5296b312fc0d2481fd96649e49da4797765e90bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-2eb5-7ec2-bd8c-f4f767a91f0e"} +{"type":"turn.started"} +{"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_44573791e8068554/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..413d04dab016e087baf7c2d6da1812b59d83be14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-2eb5-7ec2-bd8c-f4f767a91f0e"} +{"type":"turn.started"} +{"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_44573791e8068554/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/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_44573791e8068554/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_44573791e8068554/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b3acc080bf9c24b91028ae1bda3bc07a002dd2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/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": "2026-05-19T16:28:47.631330+00:00", + "ended_at": "2026-05-19T16:28:51.236739+00:00", + "elapsed_ms": 3605.36, + "returncode": 1, + "prompt_metrics": { + "chars": 8952, + "bytes_utf8": 8952, + "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_47625eca68424d84/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9bdecc0016f15ab83845b14e347a21f1e8e3d7aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/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": "2026-05-19T16:28:52.239610+00:00", + "ended_at": "2026-05-19T16:28:55.986363+00:00", + "elapsed_ms": 3746.68, + "returncode": 1, + "prompt_metrics": { + "chars": 8952, + "bytes_utf8": 8952, + "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_47625eca68424d84/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8167c6367b80aefca5ac8e74256c5155bce9d026 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/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 rare_extreme_view. Focus on group_col=education.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_47625eca68424d84/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8167c6367b80aefca5ac8e74256c5155bce9d026 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/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 rare_extreme_view. Focus on group_col=education.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_47625eca68424d84/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe2ee978a7f43fb406311890391194e2565ca499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-861e-7781-8e27-36a8ca77e61b"} +{"type":"turn.started"} +{"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_47625eca68424d84/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4214b26d833779be8f7228cdc56e8b692527af2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-861e-7781-8e27-36a8ca77e61b"} +{"type":"turn.started"} +{"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_47625eca68424d84/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0efe0598a45a6c6c921fb416da8f20ba86a956ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-9839-7581-bc72-de6169efafff"} +{"type":"turn.started"} +{"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_47625eca68424d84/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f23297e278d5ab2f86feb8634c9c89c20d466e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-9839-7581-bc72-de6169efafff"} +{"type":"turn.started"} +{"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_47625eca68424d84/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/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_47625eca68424d84/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47625eca68424d84/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_47b15bab72111c6d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c4574036f84a4ed4036f88fae3336ecf34961dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/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": "2026-05-19T16:27:59.997371+00:00", + "ended_at": "2026-05-19T16:28:03.429020+00:00", + "elapsed_ms": 3431.59, + "returncode": 1, + "prompt_metrics": { + "chars": 8939, + "bytes_utf8": 8939, + "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_47b15bab72111c6d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..43fd84b9f86856030305b0a4f008fba68f639b5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/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": "2026-05-19T16:28:04.431225+00:00", + "ended_at": "2026-05-19T16:28:08.597546+00:00", + "elapsed_ms": 4166.26, + "returncode": 1, + "prompt_metrics": { + "chars": 8939, + "bytes_utf8": 8939, + "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_47b15bab72111c6d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc6e5b94403d22a4077f9c8fe901e600233989cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/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=job.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_47b15bab72111c6d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc6e5b94403d22a4077f9c8fe901e600233989cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/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=job.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_47b15bab72111c6d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9eda1063427fb50684305222cd855bd135e7eeb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-cc04-7af1-a1d1-4070a92a3fbd"} +{"type":"turn.started"} +{"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_47b15bab72111c6d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c29f876db8e8bd8ad4e932b3d8e57d33fe2afdfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-cc04-7af1-a1d1-4070a92a3fbd"} +{"type":"turn.started"} +{"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_47b15bab72111c6d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..739761b802549954fcc236f2a34348d95d746605 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-dd4c-7741-9a9d-aac04045d9f1"} +{"type":"turn.started"} +{"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_47b15bab72111c6d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..98742d3f033f3d774e586e8cd794820f23844b40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-dd4c-7741-9a9d-aac04045d9f1"} +{"type":"turn.started"} +{"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_47b15bab72111c6d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/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_47b15bab72111c6d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_47b15bab72111c6d/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_4c471fa1b7524e2a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..55e4a395ecb578e141806e123cfa159b282eabf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/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": "2026-05-19T16:27:01.016406+00:00", + "ended_at": "2026-05-19T16:27:04.328767+00:00", + "elapsed_ms": 3312.32, + "returncode": 1, + "prompt_metrics": { + "chars": 8887, + "bytes_utf8": 8887, + "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_4c471fa1b7524e2a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..026bd75d3d1bc02a7bc6548be4202fdf05ad88a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/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": "2026-05-19T16:27:05.331469+00:00", + "ended_at": "2026-05-19T16:27:08.737685+00:00", + "elapsed_ms": 3406.17, + "returncode": 1, + "prompt_metrics": { + "chars": 8887, + "bytes_utf8": 8887, + "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_4c471fa1b7524e2a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..13d4d9a0d913ed41b5d78c99292dc05b013c6264 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/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=age.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "age", + "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": 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 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_4c471fa1b7524e2a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..13d4d9a0d913ed41b5d78c99292dc05b013c6264 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/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=age.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "age", + "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": 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 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_4c471fa1b7524e2a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f80f19e8ac59c093ec914b5ffae6ae2c1fa287bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-e585-7041-8d5e-26f72e111f6d"} +{"type":"turn.started"} +{"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_4c471fa1b7524e2a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2690c2a1eaa82233fd619eca38cc193a29093de3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-e585-7041-8d5e-26f72e111f6d"} +{"type":"turn.started"} +{"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_4c471fa1b7524e2a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e011967f211ae9f878071f8e1cc4caacff00a25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-f66a-7391-9ff5-29441bdbbab5"} +{"type":"turn.started"} +{"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_4c471fa1b7524e2a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d085b5b48ded87311e80b4952129bb71e661dbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-f66a-7391-9ff5-29441bdbbab5"} +{"type":"turn.started"} +{"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_4c471fa1b7524e2a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/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_4c471fa1b7524e2a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4c471fa1b7524e2a/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f4593204ac55c29d38e868c30964dc899954410e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/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": "2026-05-19T16:26:52.477388+00:00", + "ended_at": "2026-05-19T16:26:55.784398+00:00", + "elapsed_ms": 3306.96, + "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_4e852a260ed496db/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90a0c78946152d562d1b951909c103d6e5d95826 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/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": "2026-05-19T16:26:56.787145+00:00", + "ended_at": "2026-05-19T16:27:01.009601+00:00", + "elapsed_ms": 4222.41, + "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_4e852a260ed496db/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b09b7a98f8b8fdb2f4c7d2bbd54654ad0b8dc7c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/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=previous.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_4e852a260ed496db/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b09b7a98f8b8fdb2f4c7d2bbd54654ad0b8dc7c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/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=previous.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_4e852a260ed496db/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c77f6f42f8f4a1081c7ceca551cd7de435c9bdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-c41b-71a3-9a25-9006eaefa4ea"} +{"type":"turn.started"} +{"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_4e852a260ed496db/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9f96770c2e287d1d1e7e4890229a97c5a04fbd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-c41b-71a3-9a25-9006eaefa4ea"} +{"type":"turn.started"} +{"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_4e852a260ed496db/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..45a654ba8a70ee8ccae07545f324e2212a6b0f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-d512-7513-ab65-4514dd895e13"} +{"type":"turn.started"} +{"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_4e852a260ed496db/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8e1a564b156f5a1ec493710129d7a975558b5f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-d512-7513-ab65-4514dd895e13"} +{"type":"turn.started"} +{"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_4e852a260ed496db/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/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_4e852a260ed496db/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4e852a260ed496db/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_4ef53965159a5605/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..498ea609070d5c22cc5e39a1218827fca4c26eda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/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": "2026-05-19T16:20:11.306144+00:00", + "ended_at": "2026-05-19T16:20:15.135635+00:00", + "elapsed_ms": 3829.47, + "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_4ef53965159a5605/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1dd67e2af751e374ab0750b1bb8c0bce6ad2c1f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/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": "2026-05-19T16:20:16.137606+00:00", + "ended_at": "2026-05-19T16:20:27.397193+00:00", + "elapsed_ms": 11259.54, + "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_4ef53965159a5605/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6b94977de55b31faaa2ca6077e9c4fa3f1317b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/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=loan, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_4ef53965159a5605/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6b94977de55b31faaa2ca6077e9c4fa3f1317b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/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=loan, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_4ef53965159a5605/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31e444df870d4447fe4225164c90994447f4584b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-a4c1-7c03-b192-71e4c69b06d8"} +{"type":"turn.started"} +{"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_4ef53965159a5605/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fab896630740c7b950c36f45bccc5cd3891b9ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-a4c1-7c03-b192-71e4c69b06d8"} +{"type":"turn.started"} +{"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_4ef53965159a5605/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a3c40047fd741ed9a22bd05f73efaebd0341d54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-b797-7d40-8e24-0a1d8fe03c33"} +{"type":"turn.started"} +{"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_4ef53965159a5605/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d9f61df87176018da62ad3dbeb8d205399e7061 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-b797-7d40-8e24-0a1d8fe03c33"} +{"type":"turn.started"} +{"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_4ef53965159a5605/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/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_4ef53965159a5605/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_4ef53965159a5605/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_50c61ecd01efe7aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b9f9723691de40f3bad2638c5311b91727c3a698 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/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": "2026-05-19T16:14:04.509910+00:00", + "ended_at": "2026-05-19T16:14:09.490462+00:00", + "elapsed_ms": 4980.52, + "returncode": 1, + "prompt_metrics": { + "chars": 9775, + "bytes_utf8": 9775, + "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_50c61ecd01efe7aa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a4bea14ccd6c6e40e028b6c97f4d2397eddcbd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/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": "2026-05-19T16:14:10.492244+00:00", + "ended_at": "2026-05-19T16:14:14.874828+00:00", + "elapsed_ms": 4382.55, + "returncode": 1, + "prompt_metrics": { + "chars": 9775, + "bytes_utf8": 9775, + "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_50c61ecd01efe7aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ab4eb44604279cff3892068c5618552ed55cd38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/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=day, condition_col=poutcome.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_50c61ecd01efe7aa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ab4eb44604279cff3892068c5618552ed55cd38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/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=day, condition_col=poutcome.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_50c61ecd01efe7aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31fd63702065edf04822542cb800ca98852f8081 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-0be6-7ab3-8324-aeb9bf56a2cc"} +{"type":"turn.started"} +{"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_50c61ecd01efe7aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bccc4c73cbfcd9366f0ed09b058f5143c08639f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-0be6-7ab3-8324-aeb9bf56a2cc"} +{"type":"turn.started"} +{"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_50c61ecd01efe7aa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30a92844932f52c6b1205a02bfb8ca8c6bd20427 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-234b-7d93-ae60-60b1c4d67d61"} +{"type":"turn.started"} +{"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_50c61ecd01efe7aa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dba28ebe220a3ede7c759b46e351396e2029798b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-234b-7d93-ae60-60b1c4d67d61"} +{"type":"turn.started"} +{"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_50c61ecd01efe7aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/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_50c61ecd01efe7aa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_50c61ecd01efe7aa/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ee53a30c247dcb477ce6dfa1f4171882f573703 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/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": "2026-05-19T16:08:05.122358+00:00", + "ended_at": "2026-05-19T16:08:08.292672+00:00", + "elapsed_ms": 3170.29, + "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_542e88d816cb0cb3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c325089da2928453340e81c3c917b499b4809d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/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": "2026-05-19T16:08:09.294438+00:00", + "ended_at": "2026-05-19T16:08:12.497162+00:00", + "elapsed_ms": 3202.69, + "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_542e88d816cb0cb3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ffd4e12b8c01d60f480e9da85d1bcbfcc89002f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/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": 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 + }, + "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_542e88d816cb0cb3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ffd4e12b8c01d60f480e9da85d1bcbfcc89002f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/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": 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 + }, + "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_542e88d816cb0cb3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e37c894258bcc7c5d4c031fc7c037e7db22055da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9000-7af3-8a3f-f68cc3cf67d9"} +{"type":"turn.started"} +{"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_542e88d816cb0cb3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0e805bd92c3aa3ec437652a619f653dba509247 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9000-7af3-8a3f-f68cc3cf67d9"} +{"type":"turn.started"} +{"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_542e88d816cb0cb3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f661c2d033feaec78e7016e5e70ddab372a3fe2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a051-7ca2-af79-36a1c9b542c2"} +{"type":"turn.started"} +{"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_542e88d816cb0cb3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e913958e76565298814a1c9445055515780c3882 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-a051-7ca2-af79-36a1c9b542c2"} +{"type":"turn.started"} +{"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_542e88d816cb0cb3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/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_542e88d816cb0cb3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_542e88d816cb0cb3/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c57d52618fc5d955f06c508fcfdd82e031c9d90b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/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": "2026-05-19T16:18:16.907131+00:00", + "ended_at": "2026-05-19T16:18:20.118447+00:00", + "elapsed_ms": 3211.29, + "returncode": 1, + "prompt_metrics": { + "chars": 9502, + "bytes_utf8": 9502, + "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_586b537ca111f8be/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a249a90b2a2b08f79ede4f24a8290f69240cc15b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/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": "2026-05-19T16:18:21.120790+00:00", + "ended_at": "2026-05-19T16:18:24.456075+00:00", + "elapsed_ms": 3335.24, + "returncode": 1, + "prompt_metrics": { + "chars": 9502, + "bytes_utf8": 9502, + "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_586b537ca111f8be/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..136b2dd1e5db289829d5c2a8621d7f7d8f16fcf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/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=y, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_586b537ca111f8be/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..136b2dd1e5db289829d5c2a8621d7f7d8f16fcf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/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=y, measure_col=campaign.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_586b537ca111f8be/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..54cb3ef4352032a4951b5b60e97b7eb506e3e56a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-e5e7-7633-ac4a-a87bf0d2b8b8"} +{"type":"turn.started"} +{"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_586b537ca111f8be/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7dcb87578dd1e30d868498874ab1d09d357b2fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-e5e7-7633-ac4a-a87bf0d2b8b8"} +{"type":"turn.started"} +{"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_586b537ca111f8be/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..04634fb73a6bc408895e5b1a3fe6ca2eaab76d62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-f656-7113-8fb6-5ebf2bd4286e"} +{"type":"turn.started"} +{"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_586b537ca111f8be/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d99d7682f5fb314712f6ebac0b36c78bb8824159 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-f656-7113-8fb6-5ebf2bd4286e"} +{"type":"turn.started"} +{"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_586b537ca111f8be/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/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_586b537ca111f8be/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_586b537ca111f8be/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_5abd263a0ccb995d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb6923f9f13490466b0e5935507ad113d44a6ded --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/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": "2026-05-19T16:24:48.922067+00:00", + "ended_at": "2026-05-19T16:24:52.389273+00:00", + "elapsed_ms": 3467.17, + "returncode": 1, + "prompt_metrics": { + "chars": 9195, + "bytes_utf8": 9195, + "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_5abd263a0ccb995d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3740243bd2626690ad7c529a9b21da28c3928880 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/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": "2026-05-19T16:24:53.391250+00:00", + "ended_at": "2026-05-19T16:24:58.695132+00:00", + "elapsed_ms": 5303.83, + "returncode": 1, + "prompt_metrics": { + "chars": 9195, + "bytes_utf8": 9195, + "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_5abd263a0ccb995d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5cf2f154cf4a2080218aa32ac7c8720aa0c1685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/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=month, condition_col=housing.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_5abd263a0ccb995d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5cf2f154cf4a2080218aa32ac7c8720aa0c1685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/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=month, condition_col=housing.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_5abd263a0ccb995d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8f812ecb248923b40b92c8565d57a5df057f94f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-e18e-7971-9d30-0a345353cfa0"} +{"type":"turn.started"} +{"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_5abd263a0ccb995d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8b891fb9ff3cb49f9b20015390ff472d6f4f41d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-e18e-7971-9d30-0a345353cfa0"} +{"type":"turn.started"} +{"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_5abd263a0ccb995d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbedbee79e5664853246dd8972c3ed6b1ca5cd20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-f2f2-77c3-bc66-1922b1405f7a"} +{"type":"turn.started"} +{"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_5abd263a0ccb995d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bea451badef927f1a6aae24403b803d188c166c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-f2f2-77c3-bc66-1922b1405f7a"} +{"type":"turn.started"} +{"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_5abd263a0ccb995d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/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_5abd263a0ccb995d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5abd263a0ccb995d/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_5e2eeb8cd368d180/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fa20ffc30b19fd43d53f4cba0491e3b8e3576418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/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": "2026-05-19T16:30:20.256529+00:00", + "ended_at": "2026-05-19T16:30:23.884179+00:00", + "elapsed_ms": 3627.61, + "returncode": 1, + "prompt_metrics": { + "chars": 9031, + "bytes_utf8": 9031, + "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_5e2eeb8cd368d180/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6167c1dcec6c01ed12d6a271dca2ce67eedecddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/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": "2026-05-19T16:30:24.887171+00:00", + "ended_at": "2026-05-19T16:30:28.422393+00:00", + "elapsed_ms": 3535.16, + "returncode": 1, + "prompt_metrics": { + "chars": 9031, + "bytes_utf8": 9031, + "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_5e2eeb8cd368d180/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..34dcbe0fe487bb3daf07b1771e747cf852ce1703 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/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 ranked_signal_view. Focus on group_col=poutcome, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_5e2eeb8cd368d180/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..34dcbe0fe487bb3daf07b1771e747cf852ce1703 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/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 ranked_signal_view. Focus on group_col=poutcome, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_5e2eeb8cd368d180/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ba57417db8d6cedf6887968ae4c8496e83c4284 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-efe8-7b01-8115-9f936203e706"} +{"type":"turn.started"} +{"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_5e2eeb8cd368d180/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6dd7823408f136e115f7793a9ed9d04ff34a5aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-efe8-7b01-8115-9f936203e706"} +{"type":"turn.started"} +{"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_5e2eeb8cd368d180/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa905adde5962eb2a0665451438d8e4cbe6991db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-01f8-7380-bd28-45db5501f8cb"} +{"type":"turn.started"} +{"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_5e2eeb8cd368d180/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f51652f8eecd97a667d1473c6a592f7bc16148d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-01f8-7380-bd28-45db5501f8cb"} +{"type":"turn.started"} +{"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_5e2eeb8cd368d180/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/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_5e2eeb8cd368d180/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5e2eeb8cd368d180/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_5f1e2e46bf30db46/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..acd3d29970c5838a144a46425303e1944a7c6380 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/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": "2026-05-19T16:13:20.636869+00:00", + "ended_at": "2026-05-19T16:13:24.835500+00:00", + "elapsed_ms": 4198.6, + "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_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5f1e2e46bf30db46/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..475137d9cca42e483d4b20173559c4fb0c978333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/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": "2026-05-19T16:13:25.838156+00:00", + "ended_at": "2026-05-19T16:13:28.936205+00:00", + "elapsed_ms": 3098.0, + "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_5f1e2e46bf30db46/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6f6464b1d4958923633f9f6b0b0d903d4e33502 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/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=education, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_5f1e2e46bf30db46/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6f6464b1d4958923633f9f6b0b0d903d4e33502 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/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=education, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_5f1e2e46bf30db46/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..55097b95f79ada8fded0e14e500bba01ccbfe437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-607a-7043-ab91-aa747a96fc86"} +{"type":"turn.started"} +{"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_5f1e2e46bf30db46/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09b6162fa3d4527f8609156857b2bf566eaf5b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-607a-7043-ab91-aa747a96fc86"} +{"type":"turn.started"} +{"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_5f1e2e46bf30db46/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8526717deec745da81f096034391b0a3e23edb14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-74e9-7c92-aaf6-684a02c20c82"} +{"type":"turn.started"} +{"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_5f1e2e46bf30db46/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf09c55c7d7a14effb5eaab8fc9687cc001b1726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-74e9-7c92-aaf6-684a02c20c82"} +{"type":"turn.started"} +{"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_5f1e2e46bf30db46/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/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_5f1e2e46bf30db46/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1e2e46bf30db46/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_5f1f610ca61e5c4a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0367643c8e5106a3a613f6672c77e25ddc6b176 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/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": "2026-05-19T16:13:57.463765+00:00", + "ended_at": "2026-05-19T16:14:00.579464+00:00", + "elapsed_ms": 3115.67, + "returncode": 1, + "prompt_metrics": { + "chars": 9781, + "bytes_utf8": 9781, + "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_5f1f610ca61e5c4a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b98e620c95dd0792fff868ee60e8c7f302097159 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/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=contact, condition_col=contact.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_5f1f610ca61e5c4a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b98e620c95dd0792fff868ee60e8c7f302097159 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/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=contact, condition_col=contact.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_5f1f610ca61e5c4a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..798daacba0acbd752e37fbdbf654713a707295c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-f084-71a1-becb-60ade33b1370"} +{"type":"turn.started"} +{"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_5f1f610ca61e5c4a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..81465070d3772f6341ac7961b376b85026522f50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-f084-71a1-becb-60ade33b1370"} +{"type":"turn.started"} +{"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_5f1f610ca61e5c4a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee1bbaa219831871bc2e77af16e59e9694af87c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-0074-7f52-bfce-3e8b5ff8f500"} +{"type":"turn.started"} +{"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_5f1f610ca61e5c4a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d2093bce74e87bdac989246095afe898ed937dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-0074-7f52-bfce-3e8b5ff8f500"} +{"type":"turn.started"} +{"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_5f1f610ca61e5c4a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/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_5f1f610ca61e5c4a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_5f1f610ca61e5c4a/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8be73a8f9129883fb5b6a2bcbdfc2ed404a3885b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/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": "2026-05-19T16:10:06.266926+00:00", + "ended_at": "2026-05-19T16:10:09.328082+00:00", + "elapsed_ms": 3061.13, + "returncode": 1, + "prompt_metrics": { + "chars": 8870, + "bytes_utf8": 8870, + "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_63de99dff6cabc65/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5705e717d8792d2fbdd24b22d9e7c6056a388d59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/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": "2026-05-19T16:10:10.334658+00:00", + "ended_at": "2026-05-19T16:10:13.042050+00:00", + "elapsed_ms": 2707.25, + "returncode": 1, + "prompt_metrics": { + "chars": 8870, + "bytes_utf8": 8870, + "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_63de99dff6cabc65/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c097cb957cd390f19bd3a341586dc1ce6d259a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/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=previous.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_63de99dff6cabc65/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c097cb957cd390f19bd3a341586dc1ce6d259a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/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=previous.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_63de99dff6cabc65/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bdcea0d1ac617820d02c532e5ab3a6877f6ae0f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-692f-71e0-b394-36507eb46505"} +{"type":"turn.started"} +{"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_63de99dff6cabc65/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1aa951a2891c0a65fe20816c73ce480cb2d25238 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-692f-71e0-b394-36507eb46505"} +{"type":"turn.started"} +{"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_63de99dff6cabc65/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7d402f9f1332ce4b19a89f777da0892a12bf60e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-792a-7270-a22d-9a9502b6d3fd"} +{"type":"turn.started"} +{"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_63de99dff6cabc65/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..382f71971b2441dfdca3cee636e2d8a0975f4836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-792a-7270-a22d-9a9502b6d3fd"} +{"type":"turn.started"} +{"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_63de99dff6cabc65/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/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_63de99dff6cabc65/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_63de99dff6cabc65/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_6425a123952622f2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d5493461292d61dd572baa13172485d0d020d9c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/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": "2026-05-19T16:16:07.945756+00:00", + "ended_at": "2026-05-19T16:16:15.953550+00:00", + "elapsed_ms": 8007.75, + "returncode": 1, + "prompt_metrics": { + "chars": 9264, + "bytes_utf8": 9264, + "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_6425a123952622f2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1119b3acb7957c08214e14b9345774097129d93e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/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": "2026-05-19T16:16:16.956565+00:00", + "ended_at": "2026-05-19T16:16:20.377162+00:00", + "elapsed_ms": 3420.53, + "returncode": 1, + "prompt_metrics": { + "chars": 9264, + "bytes_utf8": 9264, + "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_6425a123952622f2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95e65c0c547830f3ff823e713a0d76ca162e3e64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/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=pdays.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_6425a123952622f2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..95e65c0c547830f3ff823e713a0d76ca162e3e64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/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=pdays.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_6425a123952622f2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..944a6adef109a98ad31a4fbac3883e07ffccea6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-eeaa-7b00-8f30-85c895497eee"} +{"type":"turn.started"} +{"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_6425a123952622f2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5100d8701eafc2edfda085018740618c2831f76f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-eeaa-7b00-8f30-85c895497eee"} +{"type":"turn.started"} +{"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_6425a123952622f2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b0d74046619edaad99e6de02376824df2e81570 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-11b7-7fb3-80f2-7eeb8ad6dd32"} +{"type":"turn.started"} +{"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_6425a123952622f2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b4ef963e5dd41c0efa22da5aee1d7456b8ab9be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-11b7-7fb3-80f2-7eeb8ad6dd32"} +{"type":"turn.started"} +{"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_6425a123952622f2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/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_6425a123952622f2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6425a123952622f2/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8de9854c55f3781e1c1667492e77bed38859291 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/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": "2026-05-19T16:17:02.931350+00:00", + "ended_at": "2026-05-19T16:17:06.384276+00:00", + "elapsed_ms": 3452.88, + "returncode": 1, + "prompt_metrics": { + "chars": 9120, + "bytes_utf8": 9120, + "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_6c7f4de0bc14473c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bb69598d63341e29643a5694189e51fc5820742d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/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": "2026-05-19T16:17:07.386884+00:00", + "ended_at": "2026-05-19T16:17:11.644845+00:00", + "elapsed_ms": 4257.9, + "returncode": 1, + "prompt_metrics": { + "chars": 9120, + "bytes_utf8": 9120, + "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_6c7f4de0bc14473c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1395dbf5f70acc1d95e6e5bec313b3857cc2c90f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/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=day.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_6c7f4de0bc14473c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1395dbf5f70acc1d95e6e5bec313b3857cc2c90f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/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=day.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_6c7f4de0bc14473c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b6c217c3c6b41a4d0320c759a6780f49b0fa1d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-c550-7460-a88d-715f95714872"} +{"type":"turn.started"} +{"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_6c7f4de0bc14473c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f2d5ef00e98ef46a436835cb7b5dfa15cfd121d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-c550-7460-a88d-715f95714872"} +{"type":"turn.started"} +{"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_6c7f4de0bc14473c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c7c883ea90184a60ecffb8203c2eb6a797b9c93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-d6a3-77f3-ab34-beda097152a9"} +{"type":"turn.started"} +{"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_6c7f4de0bc14473c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..925c495022b4ce297e0df19e9cec848616ddbe36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-d6a3-77f3-ab34-beda097152a9"} +{"type":"turn.started"} +{"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_6c7f4de0bc14473c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/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_6c7f4de0bc14473c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_6c7f4de0bc14473c/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_7153b6de105a3106/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e55194871f3beb2feb617591670c42e78cf8ee6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/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": "2026-05-19T16:09:51.679902+00:00", + "ended_at": "2026-05-19T16:09:55.074557+00:00", + "elapsed_ms": 3394.63, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "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_7153b6de105a3106/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..22aa97b5fd77778f3ca9f3e7f6baf6516fc74ed4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/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": "2026-05-19T16:09:56.076266+00:00", + "ended_at": "2026-05-19T16:09:59.213064+00:00", + "elapsed_ms": 3136.77, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "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_7153b6de105a3106/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfb44dff726239330a7d0da9d0d5fd6eb433fe4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/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=day, measure_col=balance.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "day", + "measure_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": 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_7153b6de105a3106/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfb44dff726239330a7d0da9d0d5fd6eb433fe4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/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=day, measure_col=balance.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "day", + "measure_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": 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_7153b6de105a3106/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..085ed7cd2888562861dec4aaa825ac13580f283e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3032-7b90-80dd-3381729dbf9c"} +{"type":"turn.started"} +{"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_7153b6de105a3106/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cdbc48d49b15a72ee543f41f1f04cb9025e1760 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-3032-7b90-80dd-3381729dbf9c"} +{"type":"turn.started"} +{"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_7153b6de105a3106/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..54b1138340974ea9523880f0a80e6dba1f9356da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4173-7d82-95ee-be423071d57d"} +{"type":"turn.started"} +{"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_7153b6de105a3106/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3316782a11d5ac3b26cd8a3e93f0e07a944c8499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4173-7d82-95ee-be423071d57d"} +{"type":"turn.started"} +{"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_7153b6de105a3106/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/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_7153b6de105a3106/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7153b6de105a3106/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_7196bfcdb25f1f26/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b5d2aafc71172986f8ef9ecef22e177d9e648ed1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/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": "2026-05-19T16:31:50.221103+00:00", + "ended_at": "2026-05-19T16:31:53.716587+00:00", + "elapsed_ms": 3495.43, + "returncode": 1, + "prompt_metrics": { + "chars": 9041, + "bytes_utf8": 9041, + "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_7196bfcdb25f1f26/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5c696d702e2819625fda8adbe50a6da998c103c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/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": "2026-05-19T16:31:54.721322+00:00", + "ended_at": "2026-05-19T16:31:58.377922+00:00", + "elapsed_ms": 3656.53, + "returncode": 1, + "prompt_metrics": { + "chars": 9041, + "bytes_utf8": 9041, + "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_7196bfcdb25f1f26/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8261276e0dc8f53184eaa28cc96e6f277a02e26e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/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 ranked_signal_view. Focus on group_col=education, measure_col=pdays.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_7196bfcdb25f1f26/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8261276e0dc8f53184eaa28cc96e6f277a02e26e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/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 ranked_signal_view. Focus on group_col=education, measure_col=pdays.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_7196bfcdb25f1f26/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1abdaa54450f6c850d8727fc1341f6e888b0375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-4f39-7e21-bd50-96f364aadbbc"} +{"type":"turn.started"} +{"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_7196bfcdb25f1f26/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28559c82e12817721ca0f515c49e0fb6c5fdc519 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-4f39-7e21-bd50-96f364aadbbc"} +{"type":"turn.started"} +{"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_7196bfcdb25f1f26/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..370d308e7cfedcb5a80797e4a07614499a182590 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-60e3-72b3-9030-1ab363804f85"} +{"type":"turn.started"} +{"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_7196bfcdb25f1f26/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e179137558cc148b93c343c10d4f24f9ccda5524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-60e3-72b3-9030-1ab363804f85"} +{"type":"turn.started"} +{"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_7196bfcdb25f1f26/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/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_7196bfcdb25f1f26/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7196bfcdb25f1f26/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06a4c3f556613a6bbde89f847e21dc2d555c34a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/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": "2026-05-19T16:25:23.363051+00:00", + "ended_at": "2026-05-19T16:25:26.944717+00:00", + "elapsed_ms": 3581.63, + "returncode": 1, + "prompt_metrics": { + "chars": 9209, + "bytes_utf8": 9209, + "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_759bd83efe3839bd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c267c2878bdd3cf1550675df146da50172b2d290 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/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": "2026-05-19T16:25:27.948389+00:00", + "ended_at": "2026-05-19T16:25:31.350266+00:00", + "elapsed_ms": 3401.8, + "returncode": 1, + "prompt_metrics": { + "chars": 9209, + "bytes_utf8": 9209, + "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_759bd83efe3839bd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e86a31fbde9d7625e139749f667f20a2b12c0328 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/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=pdays, condition_col=contact.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_759bd83efe3839bd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e86a31fbde9d7625e139749f667f20a2b12c0328 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/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=pdays, condition_col=contact.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_759bd83efe3839bd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..981c63654cb27e2e284b9013d3fedcbe6afc2adc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-681d-7162-84db-94c8f1bab541"} +{"type":"turn.started"} +{"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_759bd83efe3839bd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21cf26efe31f68d90159e1574789dc531ac90914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-681d-7162-84db-94c8f1bab541"} +{"type":"turn.started"} +{"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_759bd83efe3839bd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..24be553213058133a26134e2482bd787b00b2f7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-7a09-7860-a660-30896697ad7d"} +{"type":"turn.started"} +{"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_759bd83efe3839bd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3bc79eb92927bbd6dcab27644a23cf7904cabf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-7a09-7860-a660-30896697ad7d"} +{"type":"turn.started"} +{"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_759bd83efe3839bd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/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_759bd83efe3839bd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_759bd83efe3839bd/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cebdbb87b0e7c94f7cd3642e38ededc86a3365fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/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": "2026-05-19T16:23:56.606312+00:00", + "ended_at": "2026-05-19T16:24:02.258262+00:00", + "elapsed_ms": 5651.88, + "returncode": 1, + "prompt_metrics": { + "chars": 9217, + "bytes_utf8": 9217, + "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_7730775635165c0b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2280349fd0c9f45b08e1a8734f7480b7a924f76e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/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": "2026-05-19T16:24:03.260931+00:00", + "ended_at": "2026-05-19T16:24:06.710645+00:00", + "elapsed_ms": 3449.64, + "returncode": 1, + "prompt_metrics": { + "chars": 9217, + "bytes_utf8": 9217, + "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_7730775635165c0b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c0e6e2741ccbbb8c689f3546747fe29be72cb7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/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=loan, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_7730775635165c0b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c0e6e2741ccbbb8c689f3546747fe29be72cb7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/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=loan, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_7730775635165c0b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..260c99484e0433c74ea814c14dd0fe82b1ff8559 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-152a-7420-849e-ac2be15ea087"} +{"type":"turn.started"} +{"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_7730775635165c0b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..699fdb8029d55a42595fbbc3a29547e1fd112887 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-152a-7420-849e-ac2be15ea087"} +{"type":"turn.started"} +{"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_7730775635165c0b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06cb45fd287fa3a7cd1b76d783f982173aab77c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-2f48-7fe1-a28a-30a93ff069ba"} +{"type":"turn.started"} +{"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_7730775635165c0b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..db48648f1000294f9a6c16598a512b59de7adb97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-2f48-7fe1-a28a-30a93ff069ba"} +{"type":"turn.started"} +{"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_7730775635165c0b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/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_7730775635165c0b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_7730775635165c0b/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_77fbb50ee85c0787/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e5f9fa33b0bd193d2d3a64a9a211583cbd7764a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/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": "2026-05-19T16:11:24.182057+00:00", + "ended_at": "2026-05-19T16:11:28.702094+00:00", + "elapsed_ms": 4520.01, + "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_77fbb50ee85c0787/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d02473912d3e99c8e6e5f774c2ccd15b3e9f148e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/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": "2026-05-19T16:11:29.704052+00:00", + "ended_at": "2026-05-19T16:11:32.408114+00:00", + "elapsed_ms": 2704.03, + "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_77fbb50ee85c0787/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f9c51c6befca520cad8a9cabcf9547a05ed5663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/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=campaign, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_77fbb50ee85c0787/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f9c51c6befca520cad8a9cabcf9547a05ed5663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/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=campaign, measure_col=campaign.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_77fbb50ee85c0787/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94cda4c0919826c4bc9962b8993b52c0ad9a1dce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-9990-77b3-ab94-60dfc149ec92"} +{"type":"turn.started"} +{"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_77fbb50ee85c0787/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be48bff5006ba65d9704462af3d71e50dca5aab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-9990-77b3-ab94-60dfc149ec92"} +{"type":"turn.started"} +{"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_77fbb50ee85c0787/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..14987fde5d42f5c08952ce790c22d6ac705fbda7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-af4c-7233-bfd5-a8c0ec039862"} +{"type":"turn.started"} +{"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_77fbb50ee85c0787/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..15e408cc221fae2afd13c63d1341d4d9aec2afca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-af4c-7233-bfd5-a8c0ec039862"} +{"type":"turn.started"} +{"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_77fbb50ee85c0787/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/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_77fbb50ee85c0787/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_77fbb50ee85c0787/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..474569faa8ecbd503b83095879481745edadec62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/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": "2026-05-19T16:20:48.374084+00:00", + "ended_at": "2026-05-19T16:20:51.328477+00:00", + "elapsed_ms": 2954.37, + "returncode": 1, + "prompt_metrics": { + "chars": 9137, + "bytes_utf8": 9137, + "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_834c653594b10aae/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6ade6314109c8ff379220190c85212469fdbcc81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/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": "2026-05-19T16:20:52.330513+00:00", + "ended_at": "2026-05-19T16:20:55.548828+00:00", + "elapsed_ms": 3218.28, + "returncode": 1, + "prompt_metrics": { + "chars": 9137, + "bytes_utf8": 9137, + "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_834c653594b10aae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..338ec8c85b321dadf4a2d6e09eef5f443f101768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/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=campaign, measure_col=balance.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_834c653594b10aae/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..338ec8c85b321dadf4a2d6e09eef5f443f101768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/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=campaign, measure_col=balance.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_834c653594b10aae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cace67a41544ceffe8470f51cb81a7970ed9026b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-3575-7fc0-8436-0e85da877adb"} +{"type":"turn.started"} +{"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_834c653594b10aae/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8259c244fe131f41caad0d9fa437e69b89f58e50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-3575-7fc0-8436-0e85da877adb"} +{"type":"turn.started"} +{"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_834c653594b10aae/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bf5f18485dc5dbd9242a43416ecd018d052c9a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-44fb-7b90-8b44-9a5215bf6ceb"} +{"type":"turn.started"} +{"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_834c653594b10aae/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b88cd158c4374e2fdfb3b10377917059e8fb088 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-44fb-7b90-8b44-9a5215bf6ceb"} +{"type":"turn.started"} +{"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_834c653594b10aae/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/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_834c653594b10aae/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_834c653594b10aae/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_873f7ee8990040d2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4bc7e0b7d70ddfdbf36ef9f7c51f724944e7dc0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/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": "2026-05-19T16:27:51.936777+00:00", + "ended_at": "2026-05-19T16:27:55.455863+00:00", + "elapsed_ms": 3519.04, + "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_873f7ee8990040d2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ab3e4e205a33fb1020b29659ee60318698fe94cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/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": "2026-05-19T16:27:56.457976+00:00", + "ended_at": "2026-05-19T16:27:59.991338+00:00", + "elapsed_ms": 3533.26, + "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_873f7ee8990040d2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e9829f1fecc43ed0d4cdc7bb5be45235d670254 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/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=age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_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": 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\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_873f7ee8990040d2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e9829f1fecc43ed0d4cdc7bb5be45235d670254 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/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=age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_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": 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\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_873f7ee8990040d2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6496b1f280978f6fd23fa2748f6cc6f4f50e729 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-acb4-7800-aae2-46415e204c0d"} +{"type":"turn.started"} +{"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_873f7ee8990040d2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ac7c65c664af9ebf0cb049b20aad4d1b17611a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-acb4-7800-aae2-46415e204c0d"} +{"type":"turn.started"} +{"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_873f7ee8990040d2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..84b9cdc5e50864c6e51bae430f13d5c21cd5ffec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-be45-7820-8053-5d19a5dd44bf"} +{"type":"turn.started"} +{"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_873f7ee8990040d2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..42637a963b38cc39db1befda62966c5cfd13b4f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-be45-7820-8053-5d19a5dd44bf"} +{"type":"turn.started"} +{"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_873f7ee8990040d2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/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_873f7ee8990040d2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_873f7ee8990040d2/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_88ea9d32bdafe9c6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d0db71df495b477d94dcb1d4048cb8ab3687a7ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/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": "2026-05-19T16:30:03.773454+00:00", + "ended_at": "2026-05-19T16:30:07.461759+00:00", + "elapsed_ms": 3688.25, + "returncode": 1, + "prompt_metrics": { + "chars": 9045, + "bytes_utf8": 9045, + "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_88ea9d32bdafe9c6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6e422f1b7c1f10b9900929dcdd06c978aeb02308 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/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": "2026-05-19T16:30:08.464103+00:00", + "ended_at": "2026-05-19T16:30:11.777583+00:00", + "elapsed_ms": 3313.42, + "returncode": 1, + "prompt_metrics": { + "chars": 9045, + "bytes_utf8": 9045, + "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_88ea9d32bdafe9c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..61875cf2d47daf0aab19b2370b03db0cb04ec77c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/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=previous, measure_col=previous.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "previous", + "measure_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": 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_88ea9d32bdafe9c6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..61875cf2d47daf0aab19b2370b03db0cb04ec77c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/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=previous, measure_col=previous.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "previous", + "measure_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": 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_88ea9d32bdafe9c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..206a56c7df54d0d8fbba564a4bb32514d4b94067 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-af89-7381-86f6-229d655e1024"} +{"type":"turn.started"} +{"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_88ea9d32bdafe9c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c273ea4d309bd7e8c8915fa8221b5f4b4910a7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-af89-7381-86f6-229d655e1024"} +{"type":"turn.started"} +{"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_88ea9d32bdafe9c6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3d471bdbea4228657d7a1dc33704d592b7a5ace --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-c1e4-7851-bb4e-cf62f634db01"} +{"type":"turn.started"} +{"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_88ea9d32bdafe9c6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9701752410a52500e504a28bfce382ea625c393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-c1e4-7851-bb4e-cf62f634db01"} +{"type":"turn.started"} +{"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_88ea9d32bdafe9c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/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_88ea9d32bdafe9c6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_88ea9d32bdafe9c6/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_8a9cf11469c87c98/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d389e1575ff518d43fcc40e37a23e50d6800e0b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/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": "2026-05-19T16:20:27.403588+00:00", + "ended_at": "2026-05-19T16:20:30.695203+00:00", + "elapsed_ms": 3291.58, + "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_8a9cf11469c87c98/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6b373075f53c407970d9e07a0fca954fe694e1f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/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": "2026-05-19T16:20:31.697458+00:00", + "ended_at": "2026-05-19T16:20:34.974529+00:00", + "elapsed_ms": 3277.04, + "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_8a9cf11469c87c98/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31d72a280cdcdcef7332b2c789ebd7f848274a76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/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=month, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_8a9cf11469c87c98/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..31d72a280cdcdcef7332b2c789ebd7f848274a76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/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=month, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_8a9cf11469c87c98/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d17764f819fb42fe2b05c51cd58fad56f4c3e90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-e39d-7433-b49b-e830b39d36bc"} +{"type":"turn.started"} +{"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_8a9cf11469c87c98/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95bf7110b131f3156627671367683d4796f7bf23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-e39d-7433-b49b-e830b39d36bc"} +{"type":"turn.started"} +{"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_8a9cf11469c87c98/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5bd6818ed67004245cc240a50e23743b5383682 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-f463-7d92-9550-a9c2508c6159"} +{"type":"turn.started"} +{"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_8a9cf11469c87c98/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..724f20b5f8327d3ace0c944bb7b80c429ce0b27a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-f463-7d92-9550-a9c2508c6159"} +{"type":"turn.started"} +{"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_8a9cf11469c87c98/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/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_8a9cf11469c87c98/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8a9cf11469c87c98/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_8da274b2140a2ef2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8dd598f4dc1b255d46ae60e06c5fbc8c53dca1e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/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": "2026-05-19T16:28:39.805066+00:00", + "ended_at": "2026-05-19T16:28:43.361429+00:00", + "elapsed_ms": 3556.32, + "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_8da274b2140a2ef2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..47e77155c2c798de30f50003968d263ba14df5b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/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": "2026-05-19T16:28:44.363765+00:00", + "ended_at": "2026-05-19T16:28:47.624429+00:00", + "elapsed_ms": 3260.6, + "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_8da274b2140a2ef2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9ca875c3be9c8d4e84bea06257a6920fd1e97bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/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=education.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_8da274b2140a2ef2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9ca875c3be9c8d4e84bea06257a6920fd1e97bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/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=education.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_8da274b2140a2ef2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94fef8e833176ec45667ce030bdda686474afca8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-675d-7101-a845-a656471f427a"} +{"type":"turn.started"} +{"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_8da274b2140a2ef2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24eb5924137675780eadd8b4632fde682cc2ec15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-675d-7101-a845-a656471f427a"} +{"type":"turn.started"} +{"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_8da274b2140a2ef2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..450cf88c9c4981390f0f8a6c5b104e12a77bc62f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-7948-7842-a553-5faad9ba80e9"} +{"type":"turn.started"} +{"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_8da274b2140a2ef2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..869efa64ea28b9ffa5b5993927a693e752c799ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-7948-7842-a553-5faad9ba80e9"} +{"type":"turn.started"} +{"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_8da274b2140a2ef2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/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_8da274b2140a2ef2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8da274b2140a2ef2/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_8edc9e79c71abc8f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8111d5ee8affcf19f60f315dd468b3adf9ecfa1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/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": "2026-05-19T16:18:49.851462+00:00", + "ended_at": "2026-05-19T16:18:52.703231+00:00", + "elapsed_ms": 2851.74, + "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_8edc9e79c71abc8f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..285d61a00a6da37cac18faf2b04edc3985dbe1fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/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": "2026-05-19T16:18:53.705793+00:00", + "ended_at": "2026-05-19T16:18:58.442784+00:00", + "elapsed_ms": 4736.94, + "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_8edc9e79c71abc8f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..316e7d4658798755ba17b3b9d7e6f0845a3cc518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/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=job, measure_col=previous.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_8edc9e79c71abc8f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..316e7d4658798755ba17b3b9d7e6f0845a3cc518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/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=job, measure_col=previous.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_8edc9e79c71abc8f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecc4b4c0c73453df4a74041538522294f92a3bec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-6681-70b0-a3bc-f9f0de7c5c5c"} +{"type":"turn.started"} +{"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_8edc9e79c71abc8f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0691aa77f21512c635546b2dcc376985deeb4a2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-6681-70b0-a3bc-f9f0de7c5c5c"} +{"type":"turn.started"} +{"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_8edc9e79c71abc8f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8766e2f82c17d59590ba1adf0166bee0d59cbc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-759a-7422-815e-32669dfa591e"} +{"type":"turn.started"} +{"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_8edc9e79c71abc8f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8587846d6810135addcdee8cc9a351c3ab92da78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-759a-7422-815e-32669dfa591e"} +{"type":"turn.started"} +{"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_8edc9e79c71abc8f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/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_8edc9e79c71abc8f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8edc9e79c71abc8f/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_8f175383c8a5198b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f4fabf995c9be7e55f1a6591899f38bd4467f4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/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": "2026-05-19T16:27:44.024293+00:00", + "ended_at": "2026-05-19T16:27:47.599497+00:00", + "elapsed_ms": 3575.16, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "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_8f175383c8a5198b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..81e9af20062ce2c97c44b37811f5d04bf435bb94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/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": "2026-05-19T16:27:48.601537+00:00", + "ended_at": "2026-05-19T16:27:51.928921+00:00", + "elapsed_ms": 3327.33, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "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_8f175383c8a5198b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcd89270b1bd54c48c47b0722e7ba020603cbbef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/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=age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_8f175383c8a5198b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcd89270b1bd54c48c47b0722e7ba020603cbbef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/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=age.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_8f175383c8a5198b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..067346a3206b251cfc0b66066c231debd8659679 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-8d86-7181-9a2a-6e7cdf37201c"} +{"type":"turn.started"} +{"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_8f175383c8a5198b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32a96c5478e16ad8b1ad925b3789c62b449eb8ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-8d86-7181-9a2a-6e7cdf37201c"} +{"type":"turn.started"} +{"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_8f175383c8a5198b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d2980540a51589510a090aadb7cc14e561d3fda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-9f54-7603-ad6e-a11dac8990d3"} +{"type":"turn.started"} +{"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_8f175383c8a5198b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..81dcc39fa7fe92a7f5c5d67603ded6ff82390867 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-9f54-7603-ad6e-a11dac8990d3"} +{"type":"turn.started"} +{"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_8f175383c8a5198b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/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_8f175383c8a5198b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_8f175383c8a5198b/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ee7cf3f9b83134ea5d540e534fc665697cad728 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/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": "2026-05-19T16:14:21.746119+00:00", + "ended_at": "2026-05-19T16:14:25.118641+00:00", + "elapsed_ms": 3372.49, + "returncode": 1, + "prompt_metrics": { + "chars": 9781, + "bytes_utf8": 9781, + "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_903eb93cea28e502/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5051e57e8e5a64ba9f9c48b7d3e3fde23269375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/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": "2026-05-19T16:14:26.121067+00:00", + "ended_at": "2026-05-19T16:14:29.655729+00:00", + "elapsed_ms": 3534.62, + "returncode": 1, + "prompt_metrics": { + "chars": 9781, + "bytes_utf8": 9781, + "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_903eb93cea28e502/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b808daa898420998f7becaab55878fa973b54886 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/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=campaign, condition_col=marital.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_903eb93cea28e502/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b808daa898420998f7becaab55878fa973b54886 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/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=campaign, condition_col=marital.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_903eb93cea28e502/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c0f94db0f0a3919a21ec8df7022c8ebd617d25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-4f2f-75a2-b03b-d16fbec8b927"} +{"type":"turn.started"} +{"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_903eb93cea28e502/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54105b73933be3d7bfd4bf080f0a7dbb217dd4b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-4f2f-75a2-b03b-d16fbec8b927"} +{"type":"turn.started"} +{"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_903eb93cea28e502/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac63b63d729f94df08bb27cada27bbdaaa01a1a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-6054-7ff3-a2ef-fa3eb3773336"} +{"type":"turn.started"} +{"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_903eb93cea28e502/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..04724426909d0bfadcc3058f054fd134e909ed62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-6054-7ff3-a2ef-fa3eb3773336"} +{"type":"turn.started"} +{"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_903eb93cea28e502/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/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_903eb93cea28e502/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_903eb93cea28e502/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_908e3ba7686b5b61/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c30bf90bc38fe79a89c7746783091f29a94e9ac1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/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": "2026-05-19T16:13:50.199391+00:00", + "ended_at": "2026-05-19T16:13:53.227798+00:00", + "elapsed_ms": 3028.38, + "returncode": 1, + "prompt_metrics": { + "chars": 9756, + "bytes_utf8": 9756, + "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_908e3ba7686b5b61/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9d67bbb358fde951bd0d4cd080cdfc45f6fa21d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/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": "2026-05-19T16:13:54.229423+00:00", + "ended_at": "2026-05-19T16:13:57.459420+00:00", + "elapsed_ms": 3229.97, + "returncode": 1, + "prompt_metrics": { + "chars": 9756, + "bytes_utf8": 9756, + "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_908e3ba7686b5b61/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cb8614bd8848f452e77b976d2239a2f756d27de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/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=loan, condition_col=loan.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_908e3ba7686b5b61/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cb8614bd8848f452e77b976d2239a2f756d27de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/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=loan, condition_col=loan.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_908e3ba7686b5b61/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8570e5fb37fcf7ac178dad3451baf13b9146a8ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-d3f5-7493-94ad-bf5f27aa7aa9"} +{"type":"turn.started"} +{"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_908e3ba7686b5b61/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c3a19e0d760342ab7882a05afb3993def451e89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-d3f5-7493-94ad-bf5f27aa7aa9"} +{"type":"turn.started"} +{"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_908e3ba7686b5b61/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec791562fcc5dda7ab4eb3b5fd74febd9d445408 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-e3bb-7be1-b85c-03195b847f87"} +{"type":"turn.started"} +{"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_908e3ba7686b5b61/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a883dec71d0d9e9224db2d2ebfe025aac4adc7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-e3bb-7be1-b85c-03195b847f87"} +{"type":"turn.started"} +{"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_908e3ba7686b5b61/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/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_908e3ba7686b5b61/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_908e3ba7686b5b61/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_9197b6b240add6c5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad4438fd9280306750fb6cffd835f56d60e6eb89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/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": "2026-05-19T16:12:28.011447+00:00", + "ended_at": "2026-05-19T16:12:31.458234+00:00", + "elapsed_ms": 3446.76, + "returncode": 1, + "prompt_metrics": { + "chars": 9352, + "bytes_utf8": 9352, + "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_9197b6b240add6c5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..86fa97686677952d56798decd9a2eeab4b388871 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/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": "2026-05-19T16:12:32.461106+00:00", + "ended_at": "2026-05-19T16:12:35.291457+00:00", + "elapsed_ms": 2830.3, + "returncode": 1, + "prompt_metrics": { + "chars": 9352, + "bytes_utf8": 9352, + "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_9197b6b240add6c5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a216655fd614ef3a583c37bd6c9be3f3abfb808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/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=y, measure_col=balance.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_9197b6b240add6c5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a216655fd614ef3a583c37bd6c9be3f3abfb808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/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=y, measure_col=balance.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_9197b6b240add6c5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f050e0148a4e454f5f89deb1041a491037594ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-931a-76e0-bb36-1c3c4ed8d61d"} +{"type":"turn.started"} +{"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_9197b6b240add6c5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..006f28e42ea8dd63b0ea629ec965e90c70773b2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-931a-76e0-bb36-1c3c4ed8d61d"} +{"type":"turn.started"} +{"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_9197b6b240add6c5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ac90e16f08a414801ddd8b27f869f40a0aaffc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-a466-7f72-ae05-ee932ad7a1ea"} +{"type":"turn.started"} +{"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_9197b6b240add6c5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f844e8884304584673741554fdbbcac411862330 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-a466-7f72-ae05-ee932ad7a1ea"} +{"type":"turn.started"} +{"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_9197b6b240add6c5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/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_9197b6b240add6c5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9197b6b240add6c5/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_938a32c989d432b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b57a338e518d9728a79909b47af9816f10a1a07f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/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": "2026-05-19T16:24:14.376378+00:00", + "ended_at": "2026-05-19T16:24:17.840396+00:00", + "elapsed_ms": 3463.96, + "returncode": 1, + "prompt_metrics": { + "chars": 9218, + "bytes_utf8": 9218, + "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_938a32c989d432b6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d6201590fccd7b0e04aafc9ee27a712df121f342 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/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": "2026-05-19T16:24:18.843592+00:00", + "ended_at": "2026-05-19T16:24:22.402293+00:00", + "elapsed_ms": 3558.64, + "returncode": 1, + "prompt_metrics": { + "chars": 9218, + "bytes_utf8": 9218, + "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_938a32c989d432b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1eb974fbf8ea9321970bb7b825c80a8f403ad6de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/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=contact, condition_col=education.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "contact", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_938a32c989d432b6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1eb974fbf8ea9321970bb7b825c80a8f403ad6de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/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=contact, condition_col=education.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "contact", + "condition_col": "education", + "condition_value": "secondary", + "positive_value": "secondary", + "negative_value": "tertiary", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_938a32c989d432b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..590bdbfcaa55038ea24863de5b2468bf7d3a3c1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-5aba-7122-a014-76ad6151958d"} +{"type":"turn.started"} +{"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_938a32c989d432b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f478ecf04ede19391aa1f51d4fa3ec900a1b8ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-5aba-7122-a014-76ad6151958d"} +{"type":"turn.started"} +{"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_938a32c989d432b6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7815bae6a02e735d6b7462cf35915bec3d3c4704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-6c24-7060-97ec-7de460aae2a8"} +{"type":"turn.started"} +{"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_938a32c989d432b6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..47d5132bc2afd242548cdb0ff164b57cf2c8906e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-6c24-7060-97ec-7de460aae2a8"} +{"type":"turn.started"} +{"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_938a32c989d432b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/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_938a32c989d432b6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_938a32c989d432b6/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_95073f3f437b8b90/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5a396160cc80f9164724fd32c793cef37370824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/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": "2026-05-19T16:32:14.017962+00:00", + "ended_at": "2026-05-19T16:32:17.475678+00:00", + "elapsed_ms": 3457.64, + "returncode": 1, + "prompt_metrics": { + "chars": 9034, + "bytes_utf8": 9034, + "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_95073f3f437b8b90/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e56c49c8cac014d71b9c42fb29238c3532fcbeb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/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": "2026-05-19T16:32:18.477927+00:00", + "ended_at": "2026-05-19T16:32:22.028347+00:00", + "elapsed_ms": 3550.38, + "returncode": 1, + "prompt_metrics": { + "chars": 9034, + "bytes_utf8": 9034, + "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_95073f3f437b8b90/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bba8bbb70abced43883e7f8f33c70773dab393cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/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=housing, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "housing", + "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 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_95073f3f437b8b90/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bba8bbb70abced43883e7f8f33c70773dab393cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/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=housing, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "housing", + "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 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_95073f3f437b8b90/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e317582ebd475def330fd5bb06dd97e90416dd84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-ac41-7f11-90ce-75762f2bc0e1"} +{"type":"turn.started"} +{"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_95073f3f437b8b90/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a4473d3763ae9d0638f2bfbc310ce1cd3a9718d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-ac41-7f11-90ce-75762f2bc0e1"} +{"type":"turn.started"} +{"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_95073f3f437b8b90/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da3999ef4da0a5f62e53618cf7851fb6ada29cdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-bd7b-7be0-b665-d24306f04a9d"} +{"type":"turn.started"} +{"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_95073f3f437b8b90/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..63c9a45e713c367c7e843a752466799cb474274d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-bd7b-7be0-b665-d24306f04a9d"} +{"type":"turn.started"} +{"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_95073f3f437b8b90/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/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_95073f3f437b8b90/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95073f3f437b8b90/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..79deb2dcad0a07c45c9a74d66059c0aae1835652 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/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": "2026-05-19T16:24:58.701821+00:00", + "ended_at": "2026-05-19T16:25:02.181915+00:00", + "elapsed_ms": 3480.05, + "returncode": 1, + "prompt_metrics": { + "chars": 9201, + "bytes_utf8": 9201, + "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_95a71961e4d49617/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..da45a66141990065f2ec899d8da0d692697b890b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/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": "2026-05-19T16:25:03.185494+00:00", + "ended_at": "2026-05-19T16:25:06.562180+00:00", + "elapsed_ms": 3376.62, + "returncode": 1, + "prompt_metrics": { + "chars": 9201, + "bytes_utf8": 9201, + "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_95a71961e4d49617/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf4174ab67ec6b4c3940e938c8ccb099a4fdf5cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/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=month, condition_col=housing.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_95a71961e4d49617/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf4174ab67ec6b4c3940e938c8ccb099a4fdf5cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/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=month, condition_col=housing.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_95a71961e4d49617/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..724739a65b534b8835bb4db547d6bedaf2d0f6d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-07e5-7491-90fd-5a30ff282da2"} +{"type":"turn.started"} +{"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_95a71961e4d49617/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..128bce8ce5f9311c81b713a3e930b57b169e2ac7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-07e5-7491-90fd-5a30ff282da2"} +{"type":"turn.started"} +{"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_95a71961e4d49617/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71021e91d11042c728578692da7efc320e109a05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-1947-7390-bc08-4608dd267140"} +{"type":"turn.started"} +{"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_95a71961e4d49617/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..81742ee9e4736c2fb552c0a8408878e5483f7121 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-1947-7390-bc08-4608dd267140"} +{"type":"turn.started"} +{"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_95a71961e4d49617/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/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_95a71961e4d49617/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95a71961e4d49617/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_95cb000e088bfc5e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5103dffcbdfecc00b06755092935786ec06d278 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/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": "2026-05-19T16:19:46.135194+00:00", + "ended_at": "2026-05-19T16:19:49.873059+00:00", + "elapsed_ms": 3737.82, + "returncode": 1, + "prompt_metrics": { + "chars": 9513, + "bytes_utf8": 9513, + "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_95cb000e088bfc5e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dedcb3e8e33a920a014f564942de6b94c8768fcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/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": "2026-05-19T16:19:50.874970+00:00", + "ended_at": "2026-05-19T16:19:54.002489+00:00", + "elapsed_ms": 3127.45, + "returncode": 1, + "prompt_metrics": { + "chars": 9513, + "bytes_utf8": 9513, + "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_95cb000e088bfc5e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..efc3ef2be72300a1444958f7110bf13bdef91ceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/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=housing, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_95cb000e088bfc5e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..efc3ef2be72300a1444958f7110bf13bdef91ceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/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=housing, measure_col=duration.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_95cb000e088bfc5e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d8826276178e95d15adbd0b04a4d9d2931e7bb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-428b-7030-9c52-becdeed1de30"} +{"type":"turn.started"} +{"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_95cb000e088bfc5e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a5d2f5fe871e04533cdc2f49200575537177942 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-428b-7030-9c52-becdeed1de30"} +{"type":"turn.started"} +{"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_95cb000e088bfc5e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d03c17510f1833563c11bcc3c6389a4ba0d1df66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-54ed-7fe0-ac37-275cccf09421"} +{"type":"turn.started"} +{"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_95cb000e088bfc5e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea02951f1c63f282b1d4965fae94376892b9a26b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-54ed-7fe0-ac37-275cccf09421"} +{"type":"turn.started"} +{"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_95cb000e088bfc5e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/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_95cb000e088bfc5e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_95cb000e088bfc5e/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_99cb863cc37f073c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c35e54a65b09f4ef7f7f1c5b3115ac96f77ac014 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/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": "2026-05-19T16:31:25.360477+00:00", + "ended_at": "2026-05-19T16:31:28.935157+00:00", + "elapsed_ms": 3574.64, + "returncode": 1, + "prompt_metrics": { + "chars": 9038, + "bytes_utf8": 9038, + "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_99cb863cc37f073c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3d57b418b0595c1466ff2c4ca12191926dc17fe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/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": "2026-05-19T16:31:29.937194+00:00", + "ended_at": "2026-05-19T16:31:33.373509+00:00", + "elapsed_ms": 3436.26, + "returncode": 1, + "prompt_metrics": { + "chars": 9038, + "bytes_utf8": 9038, + "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_99cb863cc37f073c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1944a84a9a65a1ad4da2f0e809d613da07f9ed20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/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 ranked_signal_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": 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 + }, + "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_99cb863cc37f073c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1944a84a9a65a1ad4da2f0e809d613da07f9ed20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/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 ranked_signal_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": 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 + }, + "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_99cb863cc37f073c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fcbf2c2da883c8eba461246131598e4f4c217d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-ee40-7010-a0d5-24a5825bd9f3"} +{"type":"turn.started"} +{"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_99cb863cc37f073c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77c20e250f9f916cae5f619d80bebdca72591f69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-ee40-7010-a0d5-24a5825bd9f3"} +{"type":"turn.started"} +{"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_99cb863cc37f073c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f9107e2cd80aa6004a8d8cf2ef0f4432ef3b3b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-0014-7730-8eeb-c83f56788e86"} +{"type":"turn.started"} +{"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_99cb863cc37f073c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..443f9581411ae676950dfe0eb2f5965794471cbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-0014-7730-8eeb-c83f56788e86"} +{"type":"turn.started"} +{"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_99cb863cc37f073c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/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_99cb863cc37f073c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_99cb863cc37f073c/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c9cacb47be870f8b6957fba04469c3d20c5f2654 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/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": "2026-05-19T16:24:30.988147+00:00", + "ended_at": "2026-05-19T16:24:34.960745+00:00", + "elapsed_ms": 3972.53, + "returncode": 1, + "prompt_metrics": { + "chars": 9202, + "bytes_utf8": 9202, + "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_9bea6397a70848da/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..55294da2b147487a98107cd317ac7447192d5953 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/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": "2026-05-19T16:24:35.964117+00:00", + "ended_at": "2026-05-19T16:24:39.461937+00:00", + "elapsed_ms": 3497.76, + "returncode": 1, + "prompt_metrics": { + "chars": 9202, + "bytes_utf8": 9202, + "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_9bea6397a70848da/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..93f2c6798135a02dab9e6b61c81f5adb32182af7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/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=day, condition_col=default.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_9bea6397a70848da/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..93f2c6798135a02dab9e6b61c81f5adb32182af7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/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=day, condition_col=default.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_9bea6397a70848da/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4aa1e6c883509fb0423e7548fdcd6ef849945f5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-9bba-7c02-959a-b4875dc27357"} +{"type":"turn.started"} +{"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_9bea6397a70848da/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6879d1621da683e32f2aa49aabd902c0369b6a7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-9bba-7c02-959a-b4875dc27357"} +{"type":"turn.started"} +{"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_9bea6397a70848da/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddc15d8695034a0edeba4aa58c92725f65dae019 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-aefb-7a52-8ed1-dae1e09e722a"} +{"type":"turn.started"} +{"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_9bea6397a70848da/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..09984529e54efa5c2bb2522fae3da318291e7032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-aefb-7a52-8ed1-dae1e09e722a"} +{"type":"turn.started"} +{"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_9bea6397a70848da/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/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_9bea6397a70848da/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9bea6397a70848da/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_9cf8fe071bca3be5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0eb8dba2bcbbdefd6c736888b376345dafb3c2a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/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": "2026-05-19T16:15:11.105679+00:00", + "ended_at": "2026-05-19T16:15:14.191221+00:00", + "elapsed_ms": 3085.52, + "returncode": 1, + "prompt_metrics": { + "chars": 9262, + "bytes_utf8": 9262, + "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_9cf8fe071bca3be5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c37c18319bed6efab01c090a82b286e71d8f2fb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/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": "2026-05-19T16:15:15.193731+00:00", + "ended_at": "2026-05-19T16:15:18.496310+00:00", + "elapsed_ms": 3302.53, + "returncode": 1, + "prompt_metrics": { + "chars": 9262, + "bytes_utf8": 9262, + "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_9cf8fe071bca3be5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b42174db39060fd2036126d4ed24fe2ce5958272 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/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=y.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_9cf8fe071bca3be5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b42174db39060fd2036126d4ed24fe2ce5958272 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/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=y.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_9cf8fe071bca3be5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..511c05b5ca1e77d7e1ff8cb5982f6a743f96c164 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-0ff8-7da0-b7e2-37e75ba47576"} +{"type":"turn.started"} +{"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_9cf8fe071bca3be5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cae081c92661edab5e90017e6fe8958ea0161abb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-0ff8-7da0-b7e2-37e75ba47576"} +{"type":"turn.started"} +{"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_9cf8fe071bca3be5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dbbe0970d0283585f869955b86c29ff81fc84ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-1ff6-71a3-8231-ab992fb93681"} +{"type":"turn.started"} +{"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_9cf8fe071bca3be5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa23fff63ebca83cf0b1015d795b80334ebe500e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-1ff6-71a3-8231-ab992fb93681"} +{"type":"turn.started"} +{"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_9cf8fe071bca3be5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/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_9cf8fe071bca3be5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_9cf8fe071bca3be5/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_a5f4857ef1a4f0f1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5bfe7ec051ca09069fe0498abc7045fe68cb7fd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/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": "2026-05-19T16:12:35.297906+00:00", + "ended_at": "2026-05-19T16:12:38.876049+00:00", + "elapsed_ms": 3578.12, + "returncode": 1, + "prompt_metrics": { + "chars": 9350, + "bytes_utf8": 9350, + "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_a5f4857ef1a4f0f1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..29d5270e947ea7562aca453b183759057b6b7637 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/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": "2026-05-19T16:12:39.878322+00:00", + "ended_at": "2026-05-19T16:12:42.600758+00:00", + "elapsed_ms": 2722.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9350, + "bytes_utf8": 9350, + "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_a5f4857ef1a4f0f1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..14367b62eef629fc9c8905d12161ff9dc16d9c20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/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=age, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "age", + "measure_col": "day", + "item_col": "duration", + "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": 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}, {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_a5f4857ef1a4f0f1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..14367b62eef629fc9c8905d12161ff9dc16d9c20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/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=age, measure_col=day.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "age", + "measure_col": "day", + "item_col": "duration", + "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": 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}, {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_a5f4857ef1a4f0f1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b546aedae69f249f199677e8ef0c014bca12964b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-af5b-7323-a508-92c4966f9b61"} +{"type":"turn.started"} +{"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_a5f4857ef1a4f0f1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c7eba6b7afcf86ab02a773716e7dbd60a29bcf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-af5b-7323-a508-92c4966f9b61"} +{"type":"turn.started"} +{"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_a5f4857ef1a4f0f1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0b53e6afab7b2c4adab8b76d9bd8e8d085adb47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-c16e-7a00-b4e2-5066c3198ffa"} +{"type":"turn.started"} +{"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_a5f4857ef1a4f0f1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..df784ca4978d544c2d9fd9ad5a812a9ea020d0a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-c16e-7a00-b4e2-5066c3198ffa"} +{"type":"turn.started"} +{"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_a5f4857ef1a4f0f1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/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_a5f4857ef1a4f0f1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a5f4857ef1a4f0f1/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c2838879ff01c44ddb52ab7a68a3c36edcd5dd51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/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": "2026-05-19T16:12:50.221587+00:00", + "ended_at": "2026-05-19T16:12:54.193873+00:00", + "elapsed_ms": 3972.26, + "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_a655f15de8f21257/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b6a0d2782542fe636978a7fa2c4c73f50449ac6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/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": "2026-05-19T16:12:55.196407+00:00", + "ended_at": "2026-05-19T16:12:58.156049+00:00", + "elapsed_ms": 2959.6, + "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_a655f15de8f21257/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f850363722d93cf778d41aeea56cbbca386059b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/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=job, measure_col=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_a655f15de8f21257/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f850363722d93cf778d41aeea56cbbca386059b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/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=job, measure_col=duration.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_a655f15de8f21257/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a4d4cc55cb0ac26974d523f10bb208a2d6cc008 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-e9a2-72c1-90f9-cebcde4570db"} +{"type":"turn.started"} +{"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_a655f15de8f21257/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6af2c3ee5ab7768a9523034011acea0a579fcf90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-e9a2-72c1-90f9-cebcde4570db"} +{"type":"turn.started"} +{"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_a655f15de8f21257/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25e4d817449d30b4fcc1f7872908f8e67f71eb44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-fd17-7010-aaa9-4de391f9666d"} +{"type":"turn.started"} +{"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_a655f15de8f21257/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea049fcdb2ce6c77ee42b2b2b7d3b6f085e8ca58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-fd17-7010-aaa9-4de391f9666d"} +{"type":"turn.started"} +{"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_a655f15de8f21257/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/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_a655f15de8f21257/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a655f15de8f21257/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_a7bc1366fbd83d84/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b1b4fba15dc60a006bdf49bbb403939527d825a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/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": "2026-05-19T16:24:06.718293+00:00", + "ended_at": "2026-05-19T16:24:10.348273+00:00", + "elapsed_ms": 3629.93, + "returncode": 1, + "prompt_metrics": { + "chars": 9213, + "bytes_utf8": 9213, + "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_a7bc1366fbd83d84/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7e5075f89c470e05f6e909edac5f11f45876d810 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/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": "2026-05-19T16:24:11.352152+00:00", + "ended_at": "2026-05-19T16:24:14.368666+00:00", + "elapsed_ms": 3016.44, + "returncode": 1, + "prompt_metrics": { + "chars": 9213, + "bytes_utf8": 9213, + "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_a7bc1366fbd83d84/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8b32ea815aa94a919fbf4f978008a409524ee59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/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=loan, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "loan", + "condition_col": "marital", + "condition_value": "single", + "positive_value": "married", + "negative_value": "single", + "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": -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_a7bc1366fbd83d84/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8b32ea815aa94a919fbf4f978008a409524ee59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/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=loan, condition_col=marital.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "loan", + "condition_col": "marital", + "condition_value": "single", + "positive_value": "married", + "negative_value": "single", + "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": -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_a7bc1366fbd83d84/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f80bdc3476d637ae0fb2880f5aa31a7f78073194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-3cd7-76e2-bf42-72d49d9ecb07"} +{"type":"turn.started"} +{"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_a7bc1366fbd83d84/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af7b88117d29008717f2b2b8b0e4313e1c7ed1e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-3cd7-76e2-bf42-72d49d9ecb07"} +{"type":"turn.started"} +{"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_a7bc1366fbd83d84/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..42dbbe4fa7996b3da539560bc6da247fc8e4ba53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-4f06-7d31-9b78-2fc1c7c50cbc"} +{"type":"turn.started"} +{"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_a7bc1366fbd83d84/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d9ab60ac768f18dd225aee18f964b99dad0be74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410d-4f06-7d31-9b78-2fc1c7c50cbc"} +{"type":"turn.started"} +{"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_a7bc1366fbd83d84/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/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_a7bc1366fbd83d84/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a7bc1366fbd83d84/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_a8a9b1c3f4904b63/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..16a60ac9ff0e345f60dfd387e28276383e64c746 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/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": "2026-05-19T16:19:24.301960+00:00", + "ended_at": "2026-05-19T16:19:26.915282+00:00", + "elapsed_ms": 2613.3, + "returncode": 1, + "prompt_metrics": { + "chars": 9518, + "bytes_utf8": 9518, + "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_a8a9b1c3f4904b63/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c18f570b54f51e351b67d7d52b76b8361b699aae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/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": "2026-05-19T16:19:27.917204+00:00", + "ended_at": "2026-05-19T16:19:31.192418+00:00", + "elapsed_ms": 3275.17, + "returncode": 1, + "prompt_metrics": { + "chars": 9518, + "bytes_utf8": 9518, + "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_a8a9b1c3f4904b63/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..415affb2b84670ac536eb15198f54bad85503038 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/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=education, measure_col=balance.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_a8a9b1c3f4904b63/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..415affb2b84670ac536eb15198f54bad85503038 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/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=education, measure_col=balance.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_a8a9b1c3f4904b63/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fe642c4679d6434038a1bfccb0c307a628858bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-ed03-75f0-a790-6b19c14f9f29"} +{"type":"turn.started"} +{"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_a8a9b1c3f4904b63/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..168bcd13c7eacb9177a8bf7f9d4f87d965468299 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-ed03-75f0-a790-6b19c14f9f29"} +{"type":"turn.started"} +{"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_a8a9b1c3f4904b63/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4dfca41b8472aa9d730c781e3e6136a8ba20736 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-fb33-7ad0-9fcc-d64a524d07a7"} +{"type":"turn.started"} +{"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_a8a9b1c3f4904b63/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3e28f89c89b7839de2db0053b229c0e51bc01ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-fb33-7ad0-9fcc-d64a524d07a7"} +{"type":"turn.started"} +{"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_a8a9b1c3f4904b63/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/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_a8a9b1c3f4904b63/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_a8a9b1c3f4904b63/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_aec79e7416c53f22/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db27c787776493240344f7340e7ed359ffad27b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/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": "2026-05-19T16:30:28.429517+00:00", + "ended_at": "2026-05-19T16:30:31.956876+00:00", + "elapsed_ms": 3527.3, + "returncode": 1, + "prompt_metrics": { + "chars": 9036, + "bytes_utf8": 9036, + "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_aec79e7416c53f22/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c3014ccae8d1de9753af6c1f72f5f98deba5b56f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/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": "2026-05-19T16:30:32.959759+00:00", + "ended_at": "2026-05-19T16:30:36.420519+00:00", + "elapsed_ms": 3460.7, + "returncode": 1, + "prompt_metrics": { + "chars": 9036, + "bytes_utf8": 9036, + "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_aec79e7416c53f22/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4e775b78ea20eafceb05eafd74f3f8346d3a3ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/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=poutcome, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "poutcome", + "measure_col": "age", + "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": 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 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_aec79e7416c53f22/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4e775b78ea20eafceb05eafd74f3f8346d3a3ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/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=poutcome, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "poutcome", + "measure_col": "age", + "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": 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 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_aec79e7416c53f22/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2ab1bb27fce7c0a775857c754eb2e2428d26dd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-0fec-76d1-9b7c-64d3c173d20e"} +{"type":"turn.started"} +{"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_aec79e7416c53f22/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..88aad7db46e4c566f265e7c7c0620ec8b2c51b68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-0fec-76d1-9b7c-64d3c173d20e"} +{"type":"turn.started"} +{"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_aec79e7416c53f22/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f71d19e064d06bb344dd5dbb4bc74259796b6907 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-219b-7402-bea2-67a0df53e22c"} +{"type":"turn.started"} +{"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_aec79e7416c53f22/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..edabdf63fcd34b699ee8aed5a8711c0fb4682da0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-219b-7402-bea2-67a0df53e22c"} +{"type":"turn.started"} +{"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_aec79e7416c53f22/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/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_aec79e7416c53f22/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_aec79e7416c53f22/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d0c25d38e6e694739dabaa0d385e0cc8308a5ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/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": "2026-05-19T16:10:27.120437+00:00", + "ended_at": "2026-05-19T16:10:30.168745+00:00", + "elapsed_ms": 3048.27, + "returncode": 1, + "prompt_metrics": { + "chars": 8861, + "bytes_utf8": 8861, + "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_af7da8fc452d4485/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..23153cc720d31e047bee8799568278ea037c4cf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/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": "2026-05-19T16:10:31.171896+00:00", + "ended_at": "2026-05-19T16:10:35.212235+00:00", + "elapsed_ms": 4040.28, + "returncode": 1, + "prompt_metrics": { + "chars": 8861, + "bytes_utf8": 8861, + "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_af7da8fc452d4485/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2109890a2ee24a103ff5a1363bd6049c38621be7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/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=age.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_af7da8fc452d4485/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2109890a2ee24a103ff5a1363bd6049c38621be7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/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=age.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_af7da8fc452d4485/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..58fd15303cc8c34a15d7dc3067c1aa7631629d9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-baa6-7483-aec0-2936c5adebae"} +{"type":"turn.started"} +{"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_af7da8fc452d4485/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a49a1d7751bb037994af3da1f7414653ec29227a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-baa6-7483-aec0-2936c5adebae"} +{"type":"turn.started"} +{"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_af7da8fc452d4485/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..05b388967aef6b9c951d8991794a505b9677fefe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-ca87-7921-b5e0-2b5c14a7a3ac"} +{"type":"turn.started"} +{"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_af7da8fc452d4485/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab84ecd4c3acc04e535702aecf824016a2a855b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-ca87-7921-b5e0-2b5c14a7a3ac"} +{"type":"turn.started"} +{"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_af7da8fc452d4485/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/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_af7da8fc452d4485/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_af7da8fc452d4485/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a0ee2ff1b4885a0f98c025d7fa30921479184c73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/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": "2026-05-19T16:26:29.235732+00:00", + "ended_at": "2026-05-19T16:26:32.441236+00:00", + "elapsed_ms": 3205.46, + "returncode": 1, + "prompt_metrics": { + "chars": 8898, + "bytes_utf8": 8898, + "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_b2c6ccd9e2dae3e7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5c104c4c80e32265b0eebeaec9e93d7d4b2c00b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/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": "2026-05-19T16:26:33.443952+00:00", + "ended_at": "2026-05-19T16:26:36.922665+00:00", + "elapsed_ms": 3478.66, + "returncode": 1, + "prompt_metrics": { + "chars": 8898, + "bytes_utf8": 8898, + "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_b2c6ccd9e2dae3e7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..adb2b82f333e444d82929a6ebb2604d04dc95c80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/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=duration.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_b2c6ccd9e2dae3e7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..adb2b82f333e444d82929a6ebb2604d04dc95c80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/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=duration.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_b2c6ccd9e2dae3e7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21f9a56c12365f6ddef8ba9b09e24971759fe3ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-697c-72c3-b066-082d8a1d6272"} +{"type":"turn.started"} +{"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_b2c6ccd9e2dae3e7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd64a452e9be39f4174dbd6108a94d307e420a25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-697c-72c3-b066-082d8a1d6272"} +{"type":"turn.started"} +{"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_b2c6ccd9e2dae3e7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..53615447b52f85a67860ace5e1d92cbe784c8374 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-79d1-7bf0-be0b-5c701fafd590"} +{"type":"turn.started"} +{"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_b2c6ccd9e2dae3e7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..82d4ce839909ac42074a32636d452b7473ffae61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-79d1-7bf0-be0b-5c701fafd590"} +{"type":"turn.started"} +{"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_b2c6ccd9e2dae3e7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/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_b2c6ccd9e2dae3e7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b2c6ccd9e2dae3e7/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_b8621f670466101d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7fc95ace0f0df4669ffd59e03e4d65dde606fe88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/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": "2026-05-19T16:30:53.041539+00:00", + "ended_at": "2026-05-19T16:30:56.476280+00:00", + "elapsed_ms": 3434.7, + "returncode": 1, + "prompt_metrics": { + "chars": 9021, + "bytes_utf8": 9021, + "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_b8621f670466101d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b87774870c7a6d51ba038bb5b48434fc83f8fb83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/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": "2026-05-19T16:30:57.478897+00:00", + "ended_at": "2026-05-19T16:31:01.889429+00:00", + "elapsed_ms": 4410.48, + "returncode": 1, + "prompt_metrics": { + "chars": 9021, + "bytes_utf8": 9021, + "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_b8621f670466101d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a8c5bf9bf4d3db624ef76e47f35c7ec916bb527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/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 ranked_signal_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": 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 + }, + "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_b8621f670466101d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a8c5bf9bf4d3db624ef76e47f35c7ec916bb527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/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 ranked_signal_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": 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 + }, + "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_b8621f670466101d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40e0b52f4da9bbe52e003c635db8dd0189704a15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-6ff0-7192-987e-4c345fefeb37"} +{"type":"turn.started"} +{"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_b8621f670466101d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb9559b91b17fe318c555d65d3437f86206b6613 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-6ff0-7192-987e-4c345fefeb37"} +{"type":"turn.started"} +{"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_b8621f670466101d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4952fbf0c65f34ea57a81d79a62436cb4a2313f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-812b-7601-8264-496744083ecd"} +{"type":"turn.started"} +{"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_b8621f670466101d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..79127ef5a0a99e2447a0137e0235b868a0eb6e31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-812b-7601-8264-496744083ecd"} +{"type":"turn.started"} +{"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_b8621f670466101d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/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_b8621f670466101d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b8621f670466101d/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7f1b8f28ca17d5947060d7bff6a499eda3535459 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/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": "2026-05-19T16:14:52.611012+00:00", + "ended_at": "2026-05-19T16:14:55.757853+00:00", + "elapsed_ms": 3146.81, + "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_b90a2d6e1cf00279/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f8860088ad0076ceb94e95abfc8744d9c759621a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/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": "2026-05-19T16:14:56.760114+00:00", + "ended_at": "2026-05-19T16:15:01.249363+00:00", + "elapsed_ms": 4489.2, + "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_b90a2d6e1cf00279/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17b852b0985aaa16ba23e3f0bfa2734edc5c178c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/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=y, condition_col=loan.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_b90a2d6e1cf00279/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..17b852b0985aaa16ba23e3f0bfa2734edc5c178c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/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=y, condition_col=loan.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "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 + }, + "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_b90a2d6e1cf00279/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a48fc63438de541b4c5796c913ee56b5c0e34ef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-c7c4-7d60-ad67-9c6107797e82"} +{"type":"turn.started"} +{"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_b90a2d6e1cf00279/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8272d1803316f33e8e9c334e08cd6c4cf6ec7f50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-c7c4-7d60-ad67-9c6107797e82"} +{"type":"turn.started"} +{"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_b90a2d6e1cf00279/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0356a6dacca96885d4be49fb96c162db603d8df1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-d7f6-7b11-bdfb-094e48e02464"} +{"type":"turn.started"} +{"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_b90a2d6e1cf00279/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a47807de88a554af00d11fece59bc93b90a10de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4104-d7f6-7b11-bdfb-094e48e02464"} +{"type":"turn.started"} +{"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_b90a2d6e1cf00279/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/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_b90a2d6e1cf00279/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_b90a2d6e1cf00279/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eb77b531518c0c288d574ef1f78e6d3e8718ae50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/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": "2026-05-19T16:13:43.421517+00:00", + "ended_at": "2026-05-19T16:13:46.268075+00:00", + "elapsed_ms": 2846.52, + "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_bb30e19a214f7084/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e4e101b128c4463379d149a939a88a3e1de32af9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/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": "2026-05-19T16:13:47.271096+00:00", + "ended_at": "2026-05-19T16:13:50.195358+00:00", + "elapsed_ms": 2924.21, + "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_bb30e19a214f7084/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58af6a3505a72c9cf4cf8269c57870b0b6919aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/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=default, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_bb30e19a214f7084/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..58af6a3505a72c9cf4cf8269c57870b0b6919aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/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=default, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_bb30e19a214f7084/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff973e2b8fc772fbdbdad86e6074a57a6926d0dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-b995-7ec1-9407-b0704707b46a"} +{"type":"turn.started"} +{"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_bb30e19a214f7084/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2ee9b5221a3a9c7d8768946e3e99f895347f182 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-b995-7ec1-9407-b0704707b46a"} +{"type":"turn.started"} +{"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_bb30e19a214f7084/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21f9506e4d3824d557fcae8a1917fb63b3325d56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-c8a1-7ee2-ae95-01d4973d546a"} +{"type":"turn.started"} +{"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_bb30e19a214f7084/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..840c09a1211734eab5b7e57647c146b9909e3795 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-c8a1-7ee2-ae95-01d4973d546a"} +{"type":"turn.started"} +{"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_bb30e19a214f7084/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/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_bb30e19a214f7084/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bb30e19a214f7084/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_bc1ceb04675e4394/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..64e39051dbc87538f60402c2a0addd813efd9b27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/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": "2026-05-19T16:13:36.028811+00:00", + "ended_at": "2026-05-19T16:13:39.213123+00:00", + "elapsed_ms": 3184.29, + "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_bc1ceb04675e4394/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..57a089d4a14612dc56ded0d65ec980db4031b85b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/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": "2026-05-19T16:13:40.214710+00:00", + "ended_at": "2026-05-19T16:13:43.416730+00:00", + "elapsed_ms": 3201.99, + "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_bc1ceb04675e4394/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e99fe2005fbf576ee2737aef6a9e705e159f3d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/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=default, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_bc1ceb04675e4394/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e99fe2005fbf576ee2737aef6a9e705e159f3d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/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=default, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_bc1ceb04675e4394/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db5cf7bbd0d20d7a328b6e387d9d56268eded350 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-9ca1-7c50-9437-8431a877d794"} +{"type":"turn.started"} +{"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_bc1ceb04675e4394/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2f34397fa95c85a78367a0b34798d5e4887131b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-9ca1-7c50-9437-8431a877d794"} +{"type":"turn.started"} +{"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_bc1ceb04675e4394/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e52fff53180cac64b50e122c554434f390f2f1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-ace4-7582-aabf-5431806ea06e"} +{"type":"turn.started"} +{"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_bc1ceb04675e4394/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7299291240a25399afd0f63dc0d4d7971868a844 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4103-ace4-7582-aabf-5431806ea06e"} +{"type":"turn.started"} +{"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_bc1ceb04675e4394/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/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_bc1ceb04675e4394/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc1ceb04675e4394/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_bc2712b2c533dc6c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b5b373c5e68b7512b86e670b88ee2942a060fe8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/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": "2026-05-19T16:15:18.500651+00:00", + "ended_at": "2026-05-19T16:15:22.812519+00:00", + "elapsed_ms": 4311.85, + "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_bc2712b2c533dc6c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dc807966ff426c6096fecd8e3b0def09daac834e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/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": "2026-05-19T16:15:23.814349+00:00", + "ended_at": "2026-05-19T16:15:26.899270+00:00", + "elapsed_ms": 3084.89, + "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_bc2712b2c533dc6c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f2c3a4feb9695393dac21d3a3e94febaced75d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/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=housing.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_bc2712b2c533dc6c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f2c3a4feb9695393dac21d3a3e94febaced75d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/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=housing.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "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 + }, + "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_bc2712b2c533dc6c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e093f078b04510bea2b8018856db74425eac7fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-2d01-7252-913e-05d6f4e10f38"} +{"type":"turn.started"} +{"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_bc2712b2c533dc6c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0ea0f66c12a4baed33fe6383eff48cf1bd8b770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-2d01-7252-913e-05d6f4e10f38"} +{"type":"turn.started"} +{"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_bc2712b2c533dc6c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7128ec15516e0a8de4f901d2eb3041d62b7ef6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-41a7-7853-9c95-f53d857813e9"} +{"type":"turn.started"} +{"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_bc2712b2c533dc6c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd16636a6472755169321cde549e7a7868cc839f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4105-41a7-7853-9c95-f53d857813e9"} +{"type":"turn.started"} +{"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_bc2712b2c533dc6c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/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_bc2712b2c533dc6c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_bc2712b2c533dc6c/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_c58c3484336899e2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18329c48d1877b4feff18de672be42448caaba30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/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": "2026-05-19T16:10:55.992870+00:00", + "ended_at": "2026-05-19T16:10:58.965997+00:00", + "elapsed_ms": 2973.1, + "returncode": 1, + "prompt_metrics": { + "chars": 8867, + "bytes_utf8": 8867, + "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_c58c3484336899e2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c8d3500af8e76fae41a4dfc10fd02425f34f8f86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/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": "2026-05-19T16:10:59.967583+00:00", + "ended_at": "2026-05-19T16:11:02.567050+00:00", + "elapsed_ms": 2599.43, + "returncode": 1, + "prompt_metrics": { + "chars": 8867, + "bytes_utf8": 8867, + "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_c58c3484336899e2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15a989f45c4bb530c398497f863c9141e9208695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/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=default.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_c58c3484336899e2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..15a989f45c4bb530c398497f863c9141e9208695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/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=default.", + "planned_template_id": "tpl_clickbench_group_count", + "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 + }, + "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_c58c3484336899e2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a0c8dde9b8c3cb5ea8e0c916cad8c3e787f4786 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2b81-7d80-9258-1c33a69df569"} +{"type":"turn.started"} +{"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_c58c3484336899e2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3a67151f46f6b519ee050103ee287391284543d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-2b81-7d80-9258-1c33a69df569"} +{"type":"turn.started"} +{"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_c58c3484336899e2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..031d963e98e57cfb96aa8323b810f5de27b005f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3aed-7cd3-9e9d-767399a6e714"} +{"type":"turn.started"} +{"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_c58c3484336899e2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c5d7ee89d284e2dd7eed557d4249d83e8b23795 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-3aed-7cd3-9e9d-767399a6e714"} +{"type":"turn.started"} +{"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_c58c3484336899e2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/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_c58c3484336899e2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c58c3484336899e2/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_c597450ac100c277/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0470f7d8abf560baf5664800ab7a1f6956925e2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8957, "bytes_utf8": 8957, "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": 382, "bytes_utf8": 382, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14667, "cached_input_tokens": 12032, "output_tokens": 322, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8f7a397f89f059dd74aa116929d103bdbaa38b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..256edfa17281f4eaaa9834b59246a7d52dbf9f2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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": "2026-05-19T16:08:47.721390+00:00", + "ended_at": "2026-05-19T16:08:56.312887+00:00", + "elapsed_ms": 8591.48, + "prompt_metrics": { + "chars": 8957, + "bytes_utf8": 8957, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 746, + "bytes_utf8": 746, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 382, + "bytes_utf8": 382, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14667, + "cached_input_tokens": 12032, + "output_tokens": 322, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..663dca943cac2ddcdcfd3b16fc1f5f1f2b2ecb4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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=default, measure_col=campaign.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_c597450ac100c277/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd638e0c70654edc4ecd004eafd2d59a06f051b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-3669-7363-9b38-eae288f09695"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14667,"cached_input_tokens":12032,"output_tokens":322,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..48b09080f8cf5ac37037df394bbc524c9064878e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c597450ac100c277/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_c60f064f19578afc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..50a5125ca01f24a5e881579911862d9ff4e2364a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/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": "2026-05-19T16:16:40.010062+00:00", + "ended_at": "2026-05-19T16:16:43.402631+00:00", + "elapsed_ms": 3392.53, + "returncode": 1, + "prompt_metrics": { + "chars": 9130, + "bytes_utf8": 9130, + "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_c60f064f19578afc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed06ee54b7da57f191d9a9314ffd3f470f7d6598 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/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": "2026-05-19T16:16:44.406055+00:00", + "ended_at": "2026-05-19T16:16:47.460159+00:00", + "elapsed_ms": 3054.04, + "returncode": 1, + "prompt_metrics": { + "chars": 9130, + "bytes_utf8": 9130, + "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_c60f064f19578afc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..20f73aa4cea6dedf64e3931aec89809e52950501 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/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=previous.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_c60f064f19578afc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..20f73aa4cea6dedf64e3931aec89809e52950501 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/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=previous.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_c60f064f19578afc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b2029d198701c6a84a0a02117199655e3e09630 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-6bc7-7ab3-bcc4-5607218f95c3"} +{"type":"turn.started"} +{"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_c60f064f19578afc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e77df23da9df7c1c5ac6acff38198b379627552a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-6bc7-7ab3-bcc4-5607218f95c3"} +{"type":"turn.started"} +{"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_c60f064f19578afc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..77931347adef91303a44bdd23f50d33256ece7c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-7d02-73f3-b765-23246f609425"} +{"type":"turn.started"} +{"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_c60f064f19578afc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..eea31003e7c3d9962a99381c0eb9c3a2053e58f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-7d02-73f3-b765-23246f609425"} +{"type":"turn.started"} +{"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_c60f064f19578afc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/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_c60f064f19578afc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c60f064f19578afc/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_c67e1070b32fe65c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e41210fc8b61a32bd7ffefc87bf3379c4faead3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/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": "2026-05-19T16:25:31.357975+00:00", + "ended_at": "2026-05-19T16:25:35.957665+00:00", + "elapsed_ms": 4599.63, + "returncode": 1, + "prompt_metrics": { + "chars": 9215, + "bytes_utf8": 9215, + "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_c67e1070b32fe65c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3fc5a193c25e5ec94cdbcf514bb18d28cf62eb03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/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": "2026-05-19T16:25:36.959895+00:00", + "ended_at": "2026-05-19T16:25:40.461771+00:00", + "elapsed_ms": 3501.83, + "returncode": 1, + "prompt_metrics": { + "chars": 9215, + "bytes_utf8": 9215, + "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_c67e1070b32fe65c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..94b1274bb2e2982e9457c90a7a9eaaef6f292a97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/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=pdays, condition_col=contact.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_c67e1070b32fe65c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..94b1274bb2e2982e9457c90a7a9eaaef6f292a97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/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=pdays, condition_col=contact.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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 + }, + "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_c67e1070b32fe65c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fecaf98b1fde636135ee3f1f36a7a7eae0c1bdf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-877f-70a2-ac76-23f4580b3e32"} +{"type":"turn.started"} +{"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_c67e1070b32fe65c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6811db3b7b079800ad9bb3612d07e4bc2a0495e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-877f-70a2-ac76-23f4580b3e32"} +{"type":"turn.started"} +{"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_c67e1070b32fe65c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5785284c1661b524c247c2e52ddeac9f347920ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-9d64-7ac2-ad6f-595f5036e741"} +{"type":"turn.started"} +{"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_c67e1070b32fe65c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5298467b76547dd2e7115b02e0b40c3c6b712a5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410e-9d64-7ac2-ad6f-595f5036e741"} +{"type":"turn.started"} +{"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_c67e1070b32fe65c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/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_c67e1070b32fe65c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_c67e1070b32fe65c/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4416709e6822976de91fa78a752f906f554f5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/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": "2026-05-19T16:27:08.744009+00:00", + "ended_at": "2026-05-19T16:27:12.378521+00:00", + "elapsed_ms": 3634.47, + "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_ca83a21f461b6683/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..284767da7cd1afef312d11aceeacac1aeb66ba28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/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": "2026-05-19T16:27:13.381424+00:00", + "ended_at": "2026-05-19T16:27:19.315053+00:00", + "elapsed_ms": 5933.51, + "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_ca83a21f461b6683/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b57a8d3ca4c440071714386a16e5705d2051f4bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/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=balance.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_ca83a21f461b6683/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b57a8d3ca4c440071714386a16e5705d2051f4bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/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=balance.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_ca83a21f461b6683/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a730394ef98ea22490a9800810bf4c4eb32f6bb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-03d4-71e3-90ba-07dbc446af69"} +{"type":"turn.started"} +{"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_ca83a21f461b6683/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae86e2088ceff3a78ce1ccb5dfa133e3f38db037 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-03d4-71e3-90ba-07dbc446af69"} +{"type":"turn.started"} +{"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_ca83a21f461b6683/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..647c59629912dfc4f7c1db1056a76195eda98296 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-15ed-7170-ae6f-d9b85978ff49"} +{"type":"turn.started"} +{"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_ca83a21f461b6683/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f8b8e1bc4051fd5ef1fc3149687e61c38cb534d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-15ed-7170-ae6f-d9b85978ff49"} +{"type":"turn.started"} +{"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_ca83a21f461b6683/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/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_ca83a21f461b6683/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ca83a21f461b6683/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_cc75b369bf2e3256/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ab3ee464c4ef793b5f7cc3ba423aaccdb8640a39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/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": "2026-05-19T16:10:13.051578+00:00", + "ended_at": "2026-05-19T16:10:16.183457+00:00", + "elapsed_ms": 3131.85, + "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_cc75b369bf2e3256/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b7fcfb16d468680029c4685ef69791792b5d398 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/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": "2026-05-19T16:10:17.185945+00:00", + "ended_at": "2026-05-19T16:10:19.905153+00:00", + "elapsed_ms": 2719.17, + "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_cc75b369bf2e3256/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5705ddf4f0fc764341e5e5dfab0bb7907fcfb5cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/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=poutcome.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "poutcome", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, 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_cc75b369bf2e3256/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5705ddf4f0fc764341e5e5dfab0bb7907fcfb5cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/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=poutcome.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "poutcome", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, 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_cc75b369bf2e3256/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8bad43bbf88bb42d0fdc588782e131f139b30341 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-83b0-7643-9fc5-9fce18326fb4"} +{"type":"turn.started"} +{"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_cc75b369bf2e3256/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2edc1cf8f765c6c43152fb8562c6e200f062b90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-83b0-7643-9fc5-9fce18326fb4"} +{"type":"turn.started"} +{"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_cc75b369bf2e3256/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb77fd7f25b1d42f1c5afaaefcf4fe22ee0a55cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-93db-7ae0-9718-2f318a446148"} +{"type":"turn.started"} +{"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_cc75b369bf2e3256/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..922c170e62e36316cd8a86c99b9028a96bea64bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-93db-7ae0-9718-2f318a446148"} +{"type":"turn.started"} +{"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_cc75b369bf2e3256/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/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_cc75b369bf2e3256/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cc75b369bf2e3256/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_ce66b97a421a0cc6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6cdee1d7ce9076ab4d87cfde4d146927d33e8bc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:56.334874+00:00", + "ended_at": "2026-05-19T16:09:00.308196+00:00", + "elapsed_ms": 3973.3, + "returncode": 1, + "prompt_metrics": { + "chars": 8958, + "bytes_utf8": 8958, + "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_ce66b97a421a0cc6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..897c7df048230b3407c15201bd11dce2f3e1f587 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/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": "2026-05-19T16:09:01.309867+00:00", + "ended_at": "2026-05-19T16:09:04.238340+00:00", + "elapsed_ms": 2928.44, + "returncode": 1, + "prompt_metrics": { + "chars": 8958, + "bytes_utf8": 8958, + "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_ce66b97a421a0cc6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b5d362c5650830753c7ee7ce1e0652b1d034ca6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/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=default, measure_col=campaign.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_ce66b97a421a0cc6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b5d362c5650830753c7ee7ce1e0652b1d034ca6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/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=default, measure_col=campaign.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_ce66b97a421a0cc6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2a2e571e8a203a499389a0cf6aa1b2f12440fc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5815-7e73-89e9-c60bcfb19cf5"} +{"type":"turn.started"} +{"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_ce66b97a421a0cc6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eba3272091543a50f5ba930b17dc28ea6eed3435 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-5815-7e73-89e9-c60bcfb19cf5"} +{"type":"turn.started"} +{"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_ce66b97a421a0cc6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..48ac0f02ed41c576b17ef892adc14a757a13d591 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-6b84-7b33-b86a-f2ebf8236da0"} +{"type":"turn.started"} +{"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_ce66b97a421a0cc6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5d9e6702d252caea701b0b7acee6350c49473f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-6b84-7b33-b86a-f2ebf8236da0"} +{"type":"turn.started"} +{"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_ce66b97a421a0cc6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/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_ce66b97a421a0cc6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ce66b97a421a0cc6/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_cecc7ea11747665a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8c69d8b0f0eae828008aa92987392f196408866e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/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": "2026-05-19T16:16:47.466586+00:00", + "ended_at": "2026-05-19T16:16:50.564095+00:00", + "elapsed_ms": 3097.47, + "returncode": 1, + "prompt_metrics": { + "chars": 9120, + "bytes_utf8": 9120, + "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_cecc7ea11747665a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7f1846457524c799fbf669e204374ff25af51c96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/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": "2026-05-19T16:16:51.567017+00:00", + "ended_at": "2026-05-19T16:16:54.866273+00:00", + "elapsed_ms": 3299.2, + "returncode": 1, + "prompt_metrics": { + "chars": 9120, + "bytes_utf8": 9120, + "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_cecc7ea11747665a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..29d2b4b1b96bd9fd37df90188cc4b776be576fb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/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=age.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_cecc7ea11747665a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..29d2b4b1b96bd9fd37df90188cc4b776be576fb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/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=age.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_cecc7ea11747665a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31ff021216f4da971415fc7f7779fa5c0459b824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-88fd-7cb1-a1d8-6a0cdacad419"} +{"type":"turn.started"} +{"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_cecc7ea11747665a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cbc5bfb81cb794eb901a739a932e2531ad448d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-88fd-7cb1-a1d8-6a0cdacad419"} +{"type":"turn.started"} +{"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_cecc7ea11747665a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0e87c77d215dbe8b316f36d3ad32d9370e16c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-98f9-7b70-acae-88b1c20c8e01"} +{"type":"turn.started"} +{"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_cecc7ea11747665a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9670b0661334f8b9fdb652e93d469005e1ff5be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-98f9-7b70-acae-88b1c20c8e01"} +{"type":"turn.started"} +{"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_cecc7ea11747665a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/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_cecc7ea11747665a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cecc7ea11747665a/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..739d56f1fde69ea7386646976c0267df98ffb599 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/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": "2026-05-19T16:16:27.617543+00:00", + "ended_at": "2026-05-19T16:16:34.595723+00:00", + "elapsed_ms": 6978.14, + "returncode": 1, + "prompt_metrics": { + "chars": 9124, + "bytes_utf8": 9124, + "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_cfecaae03b91da39/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf56cf08d89f1f5e721a9b04040a71485a73ecab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/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": "2026-05-19T16:16:35.598089+00:00", + "ended_at": "2026-05-19T16:16:40.003715+00:00", + "elapsed_ms": 4405.57, + "returncode": 1, + "prompt_metrics": { + "chars": 9124, + "bytes_utf8": 9124, + "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_cfecaae03b91da39/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..08e05b9aa6b4fcb4e1327012db1f497538698589 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/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": 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 + }, + "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_cfecaae03b91da39/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..08e05b9aa6b4fcb4e1327012db1f497538698589 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/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": 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 + }, + "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_cfecaae03b91da39/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d314db9fcb68ccdc0f1838edba844344a7609f17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-3b5d-73b1-89eb-053cccf37db7"} +{"type":"turn.started"} +{"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_cfecaae03b91da39/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64d2e0895b159e10af571db34c92d5839981f38e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-3b5d-73b1-89eb-053cccf37db7"} +{"type":"turn.started"} +{"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_cfecaae03b91da39/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5323900aed1ca6f04c7430c163fdbaef9cb62fd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-5a70-7252-83dc-84e0ea292287"} +{"type":"turn.started"} +{"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_cfecaae03b91da39/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..08524751d2449509f53600387dffc5b61d32d868 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4106-5a70-7252-83dc-84e0ea292287"} +{"type":"turn.started"} +{"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_cfecaae03b91da39/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/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_cfecaae03b91da39/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cfecaae03b91da39/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_cff9d280d595aead/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0c9d6f60992f7fe0298a651f57603b4392036b89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/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": "2026-05-19T16:18:24.460343+00:00", + "ended_at": "2026-05-19T16:18:27.364841+00:00", + "elapsed_ms": 2904.47, + "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_cff9d280d595aead/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..26024d13deaa956c4213ec9ce0bf07f2674a79d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/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": "2026-05-19T16:18:28.367326+00:00", + "ended_at": "2026-05-19T16:18:34.931698+00:00", + "elapsed_ms": 6564.32, + "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_cff9d280d595aead/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9ecf2898509c2c99ffb4f032fd7f6969c888c16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/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=age, measure_col=pdays.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_cff9d280d595aead/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9ecf2898509c2c99ffb4f032fd7f6969c888c16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/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=age, measure_col=pdays.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_cff9d280d595aead/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4427ce18fc9fbcf207cb53f9fe02014d2a225a88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-0365-7fb2-9491-1f6c6b95aa44"} +{"type":"turn.started"} +{"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_cff9d280d595aead/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2e22546682ca41c8459d9521c3143bc337e4d9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-0365-7fb2-9491-1f6c6b95aa44"} +{"type":"turn.started"} +{"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_cff9d280d595aead/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..60c07377798ecc7338d08bb266d7f5597e0e2a7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-1297-70c3-a776-31d614640912"} +{"type":"turn.started"} +{"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_cff9d280d595aead/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..569840cb003cdd4cfcf249f1cc56d71d2f169e0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4108-1297-70c3-a776-31d614640912"} +{"type":"turn.started"} +{"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_cff9d280d595aead/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/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_cff9d280d595aead/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_cff9d280d595aead/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_dc2268e21234036d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d44194094c5cfd2644dc6df0f2b7fda1337762e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/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": "2026-05-19T16:11:55.752512+00:00", + "ended_at": "2026-05-19T16:11:58.822823+00:00", + "elapsed_ms": 3070.28, + "returncode": 1, + "prompt_metrics": { + "chars": 9366, + "bytes_utf8": 9366, + "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_dc2268e21234036d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4cf1a363ee174bf52a70342112da1eeec2b33b3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/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": "2026-05-19T16:11:59.825446+00:00", + "ended_at": "2026-05-19T16:12:04.747956+00:00", + "elapsed_ms": 4922.48, + "returncode": 1, + "prompt_metrics": { + "chars": 9366, + "bytes_utf8": 9366, + "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_dc2268e21234036d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17d61e27d6416a0b99ec96c2667047bfbebcdb25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/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=previous, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_dc2268e21234036d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..17d61e27d6416a0b99ec96c2667047bfbebcdb25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/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=previous, measure_col=previous.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_dc2268e21234036d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba7a7870b45a310b0edd1fed994dc107b011c22c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-14e0-7092-88f3-b7874118fe2f"} +{"type":"turn.started"} +{"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_dc2268e21234036d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e658243138af26503c434b7805544957fe93c12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-14e0-7092-88f3-b7874118fe2f"} +{"type":"turn.started"} +{"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_dc2268e21234036d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9ba5db0b253534fc9fe33ed3f43a5f328e35d19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-24df-7440-865f-b7565931db7e"} +{"type":"turn.started"} +{"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_dc2268e21234036d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..97e934ca4ad1686853225cc89b0ecdcf3de5ae1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4102-24df-7440-865f-b7565931db7e"} +{"type":"turn.started"} +{"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_dc2268e21234036d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/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_dc2268e21234036d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc2268e21234036d/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_dc781f649efc7975/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6568515e680a6d9e7833d247f1d1db7828970975 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/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": "2026-05-19T16:21:52.844591+00:00", + "ended_at": "2026-05-19T16:21:56.200678+00:00", + "elapsed_ms": 3356.06, + "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_dc781f649efc7975/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eeb791da6e5b7f565f8458248ddd5a7d9403d379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/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": "2026-05-19T16:21:57.203092+00:00", + "ended_at": "2026-05-19T16:21:59.959837+00:00", + "elapsed_ms": 2756.69, + "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_dc781f649efc7975/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c7eb668bcbe74213d7e991d72046ad338a6957 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/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=poutcome, measure_col=campaign.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "poutcome", + "measure_col": "campaign", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_dc781f649efc7975/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c7eb668bcbe74213d7e991d72046ad338a6957 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/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=poutcome, measure_col=campaign.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "poutcome", + "measure_col": "campaign", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\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_dc781f649efc7975/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5bf21d1b76c0decd914b298022040c4c180ffd55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-316b-7052-8ce4-39ad79478188"} +{"type":"turn.started"} +{"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_dc781f649efc7975/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c67884ac4ee6790d70116496a5d8e4e59a2ce13a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-316b-7052-8ce4-39ad79478188"} +{"type":"turn.started"} +{"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_dc781f649efc7975/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3308717f4d632747c5f8e842423e76a4238bec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-4265-7a11-9a54-312a5c416751"} +{"type":"turn.started"} +{"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_dc781f649efc7975/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e70270f119a0b7fec191d09d23d79adaf595658 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-4265-7a11-9a54-312a5c416751"} +{"type":"turn.started"} +{"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_dc781f649efc7975/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/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_dc781f649efc7975/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_dc781f649efc7975/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e6b510644e1fbabd7dfa72464eb8ac9036bd45d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/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": "2026-05-19T16:31:17.277141+00:00", + "ended_at": "2026-05-19T16:31:20.944924+00:00", + "elapsed_ms": 3667.73, + "returncode": 1, + "prompt_metrics": { + "chars": 9036, + "bytes_utf8": 9036, + "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_df27b7aa408dce4e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4108e96a99fe36e19de0de8f2f97629623fa10d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/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": "2026-05-19T16:31:21.947683+00:00", + "ended_at": "2026-05-19T16:31:25.354256+00:00", + "elapsed_ms": 3406.51, + "returncode": 1, + "prompt_metrics": { + "chars": 9036, + "bytes_utf8": 9036, + "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_df27b7aa408dce4e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6da68f1de3087bec27eb171dda5b986b529ee537 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/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 ranked_signal_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": 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 + }, + "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_df27b7aa408dce4e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6da68f1de3087bec27eb171dda5b986b529ee537 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/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 ranked_signal_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": 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 + }, + "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_df27b7aa408dce4e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0abee7dbd2d26ea7f6b20c9ce4ba24078e355cfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-ce7a-7063-9a5c-dc30167740f9"} +{"type":"turn.started"} +{"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_df27b7aa408dce4e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10568ff4a2a897eacc742eeade753238a9223e93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-ce7a-7063-9a5c-dc30167740f9"} +{"type":"turn.started"} +{"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_df27b7aa408dce4e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..81cb60c13a0a49b7d977ae9a8e537734bad03399 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-e0c5-7400-8ef7-af27a4487e09"} +{"type":"turn.started"} +{"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_df27b7aa408dce4e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..89abee0064e3a56edc8d49ea64bef5814b148bda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-e0c5-7400-8ef7-af27a4487e09"} +{"type":"turn.started"} +{"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_df27b7aa408dce4e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/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_df27b7aa408dce4e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_df27b7aa408dce4e/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_e0ddce48c0936d3e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..67df96b4d611716bb86cc7bf70aecdd981b4f58f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/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": "2026-05-19T16:17:34.091392+00:00", + "ended_at": "2026-05-19T16:17:37.447750+00:00", + "elapsed_ms": 3356.31, + "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_e0ddce48c0936d3e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06cb4a3f958b1006ade813416cf5692cc35eaa87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/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": "2026-05-19T16:17:38.450861+00:00", + "ended_at": "2026-05-19T16:17:41.524449+00:00", + "elapsed_ms": 3073.52, + "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_e0ddce48c0936d3e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbd188eec7d556ee779e4d0aa34308cfb2b903e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/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=previous, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "previous", + "measure_col": "day", + "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": 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": "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_e0ddce48c0936d3e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbd188eec7d556ee779e4d0aa34308cfb2b903e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/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=previous, measure_col=day.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "previous", + "measure_col": "day", + "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": 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": "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_e0ddce48c0936d3e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4911bd4821816bc89cc0f80546134c6fdabed6e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-3f04-7371-8054-f3b19ee79220"} +{"type":"turn.started"} +{"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_e0ddce48c0936d3e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7899614cd76cbe06030bd2b96357c33e1e0fb11e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-3f04-7371-8054-f3b19ee79220"} +{"type":"turn.started"} +{"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_e0ddce48c0936d3e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71b46608e632dce6be9d46a7e54a46b221357c4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5019-71e3-b44f-d4db06874ae6"} +{"type":"turn.started"} +{"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_e0ddce48c0936d3e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b93e2a912b4dda662d97b10ca8e2eec8685db8ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-5019-71e3-b44f-d4db06874ae6"} +{"type":"turn.started"} +{"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_e0ddce48c0936d3e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/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_e0ddce48c0936d3e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e0ddce48c0936d3e/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c6d753b743e9942278130b0e2a4f46c102e196ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/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": "2026-05-19T16:27:26.881723+00:00", + "ended_at": "2026-05-19T16:27:30.509469+00:00", + "elapsed_ms": 3627.69, + "returncode": 1, + "prompt_metrics": { + "chars": 8897, + "bytes_utf8": 8897, + "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_e5a12597e3181314/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6f2bf0a0da4af07dd37bc177104ae7cafcc1921c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/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": "2026-05-19T16:27:31.511763+00:00", + "ended_at": "2026-05-19T16:27:35.074286+00:00", + "elapsed_ms": 3562.47, + "returncode": 1, + "prompt_metrics": { + "chars": 8897, + "bytes_utf8": 8897, + "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_e5a12597e3181314/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3da8de1900370f615e201f6924e3e33b132b2a78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/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=duration.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_e5a12597e3181314/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3da8de1900370f615e201f6924e3e33b132b2a78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/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=duration.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_e5a12597e3181314/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8222a03ba5090a8040af081d85ed5030d2cfcc86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-4a9d-7273-a4b6-d8da59f8f3c5"} +{"type":"turn.started"} +{"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_e5a12597e3181314/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf759a857ae0670ba540f1859bb0134a60ee20f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-4a9d-7273-a4b6-d8da59f8f3c5"} +{"type":"turn.started"} +{"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_e5a12597e3181314/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..86fab68eec1cd11ed4134c1de99f16fb357f3704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-5cd6-7832-9504-7097a5765646"} +{"type":"turn.started"} +{"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_e5a12597e3181314/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..29b8c622f3e94998880a0b615b41531a938e746e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-5cd6-7832-9504-7097a5765646"} +{"type":"turn.started"} +{"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_e5a12597e3181314/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/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_e5a12597e3181314/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e5a12597e3181314/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fab5c5afaa048f93d09de521312cf62df5023ec0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/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": "2026-05-19T16:29:03.705145+00:00", + "ended_at": "2026-05-19T16:29:07.707927+00:00", + "elapsed_ms": 4002.74, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "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_e6ea5ab247690186/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..05c2d12ad1e01cbcd5077ec3c8ff35ff075663e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/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": "2026-05-19T16:29:08.710618+00:00", + "ended_at": "2026-05-19T16:29:12.173232+00:00", + "elapsed_ms": 3462.56, + "returncode": 1, + "prompt_metrics": { + "chars": 8949, + "bytes_utf8": 8949, + "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_e6ea5ab247690186/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ce5fbda1d36fcbe058434228198baac1c44b211 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/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=default.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_e6ea5ab247690186/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ce5fbda1d36fcbe058434228198baac1c44b211 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/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=default.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_e6ea5ab247690186/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..412c15dbc0797cd45539b35c849c61f81d8f4a64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-c4e0-70e0-9516-40b965e93f1d"} +{"type":"turn.started"} +{"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_e6ea5ab247690186/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..150fcf3584980d0e7f3bb8be670d5d67b1b3bd21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-c4e0-70e0-9516-40b965e93f1d"} +{"type":"turn.started"} +{"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_e6ea5ab247690186/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da2ff06aaafa0df15c5b0e21f4223d8d4788f811 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-d85d-73f2-94d6-9ac6c87032c6"} +{"type":"turn.started"} +{"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_e6ea5ab247690186/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c43ac286749e42e3fd36365d016d8ed8266841ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-d85d-73f2-94d6-9ac6c87032c6"} +{"type":"turn.started"} +{"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_e6ea5ab247690186/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/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_e6ea5ab247690186/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e6ea5ab247690186/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_e92ed6d68d28edd0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e6ef1bd3bf5d59d60cbca19a49ed9d7130ce240b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/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": "2026-05-19T16:29:55.614336+00:00", + "ended_at": "2026-05-19T16:29:59.331893+00:00", + "elapsed_ms": 3717.52, + "returncode": 1, + "prompt_metrics": { + "chars": 8951, + "bytes_utf8": 8951, + "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_e92ed6d68d28edd0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..20e2488c88e2b7d61e53c0417a3e4cba1d925605 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/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": "2026-05-19T16:30:00.334199+00:00", + "ended_at": "2026-05-19T16:30:03.766298+00:00", + "elapsed_ms": 3432.05, + "returncode": 1, + "prompt_metrics": { + "chars": 8951, + "bytes_utf8": 8951, + "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_e92ed6d68d28edd0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b10890c4d1b5c1a60e95c451f8c54b1e9fb6da1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/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 rare_extreme_view. Focus on group_col=contact.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "contact", + "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": 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\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_e92ed6d68d28edd0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b10890c4d1b5c1a60e95c451f8c54b1e9fb6da1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/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 rare_extreme_view. Focus on group_col=contact.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "contact", + "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": 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\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_e92ed6d68d28edd0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..291b8eb8a51f3437e6c1794379d15d071d979c3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-8f91-7d82-bd55-0d53fc475e85"} +{"type":"turn.started"} +{"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_e92ed6d68d28edd0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d915f0e07d38545e5fa6aed6c6880fc34534dee9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-8f91-7d82-bd55-0d53fc475e85"} +{"type":"turn.started"} +{"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_e92ed6d68d28edd0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a81221343e909b51200ba1916a5d71f9d60770e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-a210-7c10-a3d7-d0091b04bbdd"} +{"type":"turn.started"} +{"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_e92ed6d68d28edd0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab2e763151556eb8b2fb5fb86dbf498b62b0c68c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-a210-7c10-a3d7-d0091b04bbdd"} +{"type":"turn.started"} +{"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_e92ed6d68d28edd0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/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_e92ed6d68d28edd0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_e92ed6d68d28edd0/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_ea39f3caaab96542/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9a2c7c6222dc27d8cfdbd14a47db564147c744a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/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": "2026-05-19T16:09:59.217105+00:00", + "ended_at": "2026-05-19T16:10:02.260458+00:00", + "elapsed_ms": 3043.33, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "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_ea39f3caaab96542/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a6fc4f705fa96737028c9a1f52e554a11f48598e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/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": "2026-05-19T16:10:03.262180+00:00", + "ended_at": "2026-05-19T16:10:06.262650+00:00", + "elapsed_ms": 3000.44, + "returncode": 1, + "prompt_metrics": { + "chars": 8950, + "bytes_utf8": 8950, + "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_ea39f3caaab96542/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c07d4e620be9ca2f8ec7d8c0344f973812ded6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/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=day, measure_col=balance.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "day", + "measure_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": 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}, 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_ea39f3caaab96542/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c07d4e620be9ca2f8ec7d8c0344f973812ded6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/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=day, measure_col=balance.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "day", + "measure_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": 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}, 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_ea39f3caaab96542/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9840bc5e1505a64b7e4463d9c866a09898b9192 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4db1-7a30-9336-8225679c530a"} +{"type":"turn.started"} +{"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_ea39f3caaab96542/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4497f1b430ba2358c4b5905055a3fb4a9940be9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4db1-7a30-9336-8225679c530a"} +{"type":"turn.started"} +{"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_ea39f3caaab96542/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94288248ed0fae9f15f637b21f95c80260fd4fe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-5d8d-73d2-972a-e2d709e72452"} +{"type":"turn.started"} +{"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_ea39f3caaab96542/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..52415ed0fa6831b968423562ed9496223ff65b2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-5d8d-73d2-972a-e2d709e72452"} +{"type":"turn.started"} +{"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_ea39f3caaab96542/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/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_ea39f3caaab96542/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ea39f3caaab96542/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_ed6a4c40631b3619/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7d167490134a89806cc6633084e0780e76bf5d2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/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": "2026-05-19T16:32:22.035099+00:00", + "ended_at": "2026-05-19T16:32:27.232594+00:00", + "elapsed_ms": 5197.43, + "returncode": 1, + "prompt_metrics": { + "chars": 9033, + "bytes_utf8": 9033, + "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_ed6a4c40631b3619/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b48f31bd67288162bc172f964591cda934b933f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/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": "2026-05-19T16:32:28.237053+00:00", + "ended_at": "2026-05-19T16:32:31.582675+00:00", + "elapsed_ms": 3345.56, + "returncode": 1, + "prompt_metrics": { + "chars": 9033, + "bytes_utf8": 9033, + "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_ed6a4c40631b3619/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea0b58706486d922fc1a548e04af87fb9571e6a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/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 ranked_signal_view. Focus on group_col=housing, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_ed6a4c40631b3619/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea0b58706486d922fc1a548e04af87fb9571e6a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/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 ranked_signal_view. Focus on group_col=housing, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_ed6a4c40631b3619/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e03b64dccbaf30874f5b978f0f9a1f5967c9a49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-cb90-7432-bf61-6a04f0d2e035"} +{"type":"turn.started"} +{"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_ed6a4c40631b3619/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d50b21b6efa7f226893e9805795a1014c371536c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-cb90-7432-bf61-6a04f0d2e035"} +{"type":"turn.started"} +{"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_ed6a4c40631b3619/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b600573f7b122a8d7043e01e3888c2965e1ea39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-e3c5-7482-94d7-5640f9b3afbe"} +{"type":"turn.started"} +{"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_ed6a4c40631b3619/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2131d66e1e1e2c2974e8af2d55c7fdc7922e33e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-e3c5-7482-94d7-5640f9b3afbe"} +{"type":"turn.started"} +{"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_ed6a4c40631b3619/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/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_ed6a4c40631b3619/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ed6a4c40631b3619/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf11eb4086074281c89ef7650a829ab21742b322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/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": "2026-05-19T16:28:23.157681+00:00", + "ended_at": "2026-05-19T16:28:26.646798+00:00", + "elapsed_ms": 3489.07, + "returncode": 1, + "prompt_metrics": { + "chars": 8948, + "bytes_utf8": 8948, + "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_f09ee6e79797fdde/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..35feda5d8c22d566ae311c7c3dbf1b2049109938 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/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": "2026-05-19T16:28:27.649321+00:00", + "ended_at": "2026-05-19T16:28:32.481458+00:00", + "elapsed_ms": 4832.08, + "returncode": 1, + "prompt_metrics": { + "chars": 8948, + "bytes_utf8": 8948, + "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_f09ee6e79797fdde/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..48a98a6d924f9dfdddaaff7b8b43769297e572c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/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=marital.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_f09ee6e79797fdde/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..48a98a6d924f9dfdddaaff7b8b43769297e572c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/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=marital.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_f09ee6e79797fdde/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6084835542b490b112d17149ab290fda8b3a43bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-2662-7082-9c67-0f71c986961b"} +{"type":"turn.started"} +{"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_f09ee6e79797fdde/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0655bd833fd71b937ae65ca1004316f4d9d4337a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-2662-7082-9c67-0f71c986961b"} +{"type":"turn.started"} +{"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_f09ee6e79797fdde/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1fdf2a781a6138aefadf28fd9724fb83702b539 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-37ec-7f71-a1cd-db789bd3e1ef"} +{"type":"turn.started"} +{"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_f09ee6e79797fdde/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..885b8b7ff77df927b0dcd07613edc7a4eb2be80c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-37ec-7f71-a1cd-db789bd3e1ef"} +{"type":"turn.started"} +{"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_f09ee6e79797fdde/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/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_f09ee6e79797fdde/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f09ee6e79797fdde/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_f1a0a0dcaa74b02e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0d446199b9008fe5091b5158711adf5c6b679013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/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": "2026-05-19T16:27:19.321365+00:00", + "ended_at": "2026-05-19T16:27:22.221073+00:00", + "elapsed_ms": 2899.67, + "returncode": 1, + "prompt_metrics": { + "chars": 8887, + "bytes_utf8": 8887, + "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_f1a0a0dcaa74b02e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..38d52d1020501b25333a309ce56f5fe9f0920c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/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": "2026-05-19T16:27:23.224199+00:00", + "ended_at": "2026-05-19T16:27:26.871367+00:00", + "elapsed_ms": 3647.1, + "returncode": 1, + "prompt_metrics": { + "chars": 8887, + "bytes_utf8": 8887, + "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_f1a0a0dcaa74b02e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..06891705eb6fe36d4ea55ee093bc9ccf5cffaca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/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=day.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "day", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 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_f1a0a0dcaa74b02e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..06891705eb6fe36d4ea55ee093bc9ccf5cffaca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/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=day.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "day", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 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_f1a0a0dcaa74b02e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f43f01674cab78a0ac2b5053529ce00b55c5340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-2d01-7382-9000-55733c05a0bf"} +{"type":"turn.started"} +{"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_f1a0a0dcaa74b02e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5916ec198c942e792d57ac29b26acf5aba97423 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-2d01-7382-9000-55733c05a0bf"} +{"type":"turn.started"} +{"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_f1a0a0dcaa74b02e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfdecc5ac389cc08dd6110c9e2a9ce9d282dcbaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-3c44-7da0-a686-b1b70a3e312f"} +{"type":"turn.started"} +{"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_f1a0a0dcaa74b02e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..78916f0a1747bee1db24481779d9c141bf7ec7dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-3c44-7da0-a686-b1b70a3e312f"} +{"type":"turn.started"} +{"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_f1a0a0dcaa74b02e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/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_f1a0a0dcaa74b02e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f1a0a0dcaa74b02e/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_f6196741524b69b3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..80f61411c8fab85e9cebea5efc7db3a1db211cfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 8948, "bytes_utf8": 8948, "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": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 8948, "bytes_utf8": 8948, "lines": 300, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 351, "bytes_utf8": 351, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14669, "cached_input_tokens": 12032, "output_tokens": 360, "reasoning_output_tokens": 260}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a487b29503a7c5c5c11ab1cf321701c0618d0d65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m8", + "model": "v2-cli:codex", + "run_id": "v2q_m8_f6196741524b69b3", + "api_calls": 0, + "input_tokens": 14669, + "cached_input_tokens": 12032, + "output_tokens": 360, + "total_tokens": 15029, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12579.45, + "sql_execution_elapsed_ms_total": 20.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/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_f6196741524b69b3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0adf797f48fb1b9437a75513b37a705c658fd429 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/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": "2026-05-19T16:08:12.501516+00:00", + "ended_at": "2026-05-19T16:08:15.569554+00:00", + "elapsed_ms": 3068.01, + "returncode": 1, + "prompt_metrics": { + "chars": 8948, + "bytes_utf8": 8948, + "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_f6196741524b69b3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..974b4c13a01cdea71f4a325ae1fc9bb0a6dc97f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:16.571226+00:00", + "ended_at": "2026-05-19T16:08:26.082694+00:00", + "elapsed_ms": 9511.44, + "prompt_metrics": { + "chars": 8948, + "bytes_utf8": 8948, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 717, + "bytes_utf8": 717, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 351, + "bytes_utf8": 351, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14669, + "cached_input_tokens": 12032, + "output_tokens": 360, + "reasoning_output_tokens": 260 + } + }, + "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_f6196741524b69b3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..788f0de7ea64c02abfa29b5f23bae0d80a349552 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/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": 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": 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}, 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_f6196741524b69b3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..788f0de7ea64c02abfa29b5f23bae0d80a349552 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/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": 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": 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}, 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_f6196741524b69b3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbfa023990dd776a7b658d8d406f28649aee34ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ace4-70c2-a721-10331ad8e891"} +{"type":"turn.started"} +{"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_f6196741524b69b3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00186d6ad651134973c23ee1d8579a6924b933c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ace4-70c2-a721-10331ad8e891"} +{"type":"turn.started"} +{"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_f6196741524b69b3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25e15bdec680a4472d34e7c9186e1fc37cb05782 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-bccf-7e13-ab44-5e6984a77296"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"marital\\\", SUM(CAST(\\\"day\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"m8\\\"\\nGROUP BY \\\"marital\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned Grouped Numeric Sum template with group_col=\\\"marital\\\" and measure_col=\\\"day\\\". CAST is applied because the schema stores \\\"day\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14669,"cached_input_tokens":12032,"output_tokens":360,"reasoning_output_tokens":260}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..597ceeca0b1bfd38272c1d0760166376b0e2d515 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"marital\", SUM(CAST(\"day\" AS INTEGER)) AS \"total_measure\"\nFROM \"m8\"\nGROUP BY \"marital\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the planned Grouped Numeric Sum template with group_col=\"marital\" and measure_col=\"day\". CAST is applied because the schema stores \"day\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/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_f6196741524b69b3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6196741524b69b3/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18c0ce1b835d1dc0530d9e5cf6eb4e30cc0471b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/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": "2026-05-19T16:11:39.953315+00:00", + "ended_at": "2026-05-19T16:11:43.173488+00:00", + "elapsed_ms": 3220.15, + "returncode": 1, + "prompt_metrics": { + "chars": 9355, + "bytes_utf8": 9355, + "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_f6972865f5750eef/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c51f7379f69e1be190a25566a01fdec0c500f8eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/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": "2026-05-19T16:11:44.174979+00:00", + "ended_at": "2026-05-19T16:11:47.377940+00:00", + "elapsed_ms": 3202.87, + "returncode": 1, + "prompt_metrics": { + "chars": 9355, + "bytes_utf8": 9355, + "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_f6972865f5750eef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dd5f7ea682fc030898c486bd5c09f1eda624af3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/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=pdays, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_f6972865f5750eef/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dd5f7ea682fc030898c486bd5c09f1eda624af3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/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=pdays, measure_col=pdays.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_f6972865f5750eef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6f47882337ea182d84659c465a5e56dc83498b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d736-7c83-8e9f-212a069a7ca5"} +{"type":"turn.started"} +{"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_f6972865f5750eef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b06df14fc66e19a836e453d6894a7fceaa94c0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-d736-7c83-8e9f-212a069a7ca5"} +{"type":"turn.started"} +{"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_f6972865f5750eef/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e6e128ab0d3429fb6b1f2fa05206b98ea89da07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e7b8-71b2-9749-12ddcfbbe741"} +{"type":"turn.started"} +{"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_f6972865f5750eef/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..97698c681d76a90660d8e4bb7a1c3f5545b605cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4101-e7b8-71b2-9749-12ddcfbbe741"} +{"type":"turn.started"} +{"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_f6972865f5750eef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/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_f6972865f5750eef/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f6972865f5750eef/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_f70c4f3915d1a3d0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1e9f3085998543dab0788492dc8d5db65e6eac5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/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": "2026-05-19T16:31:58.385670+00:00", + "ended_at": "2026-05-19T16:32:01.528844+00:00", + "elapsed_ms": 3143.12, + "returncode": 1, + "prompt_metrics": { + "chars": 9038, + "bytes_utf8": 9038, + "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_f70c4f3915d1a3d0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..55a6859fd44b708d95f707c5483cfadb0ebb237e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/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": "2026-05-19T16:32:02.531582+00:00", + "ended_at": "2026-05-19T16:32:06.150467+00:00", + "elapsed_ms": 3618.82, + "returncode": 1, + "prompt_metrics": { + "chars": 9038, + "bytes_utf8": 9038, + "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_f70c4f3915d1a3d0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6ff96998c5d4ffc2a2352a523ff38600f719955 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/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 ranked_signal_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": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f70c4f3915d1a3d0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6ff96998c5d4ffc2a2352a523ff38600f719955 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/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 ranked_signal_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": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_f70c4f3915d1a3d0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6244091870c13c7c1acd18d4228cd2aed2fb398b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-6f3c-7810-ae9d-02cf7dec89fb"} +{"type":"turn.started"} +{"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_f70c4f3915d1a3d0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..838fe0a383858bd5e74dea76a0981027a3436f15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-6f3c-7810-ae9d-02cf7dec89fb"} +{"type":"turn.started"} +{"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_f70c4f3915d1a3d0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e54078dd4b66759ca96395e5e911351dcc03ec19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-7f6a-7140-a97f-aefc623471ad"} +{"type":"turn.started"} +{"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_f70c4f3915d1a3d0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d09154225c0f0430122f5a68584cd9e7190e3db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4114-7f6a-7140-a97f-aefc623471ad"} +{"type":"turn.started"} +{"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_f70c4f3915d1a3d0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/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_f70c4f3915d1a3d0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_f70c4f3915d1a3d0/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7c94899eb7a27052aaca036cf400c1806676bb9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/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": "2026-05-19T16:29:28.893116+00:00", + "ended_at": "2026-05-19T16:29:32.091965+00:00", + "elapsed_ms": 3198.8, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "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_faddd44eb821b0a3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7b1c6d7707c1a3126533a77d7136c77eaedbb9ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/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": "2026-05-19T16:29:33.094741+00:00", + "ended_at": "2026-05-19T16:29:38.700665+00:00", + "elapsed_ms": 5605.86, + "returncode": 1, + "prompt_metrics": { + "chars": 8941, + "bytes_utf8": 8941, + "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_faddd44eb821b0a3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..62256c22fc59261a79d3536add065a816e480e6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/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=loan.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_faddd44eb821b0a3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..62256c22fc59261a79d3536add065a816e480e6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/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=loan.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_faddd44eb821b0a3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed846210fde6f70885a83dc030d01606f0876611 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-272d-7f52-ab2d-e087c71709b9"} +{"type":"turn.started"} +{"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_faddd44eb821b0a3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1c4bf484aafc625422df98360c1c671d4e56675 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-272d-7f52-ab2d-e087c71709b9"} +{"type":"turn.started"} +{"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_faddd44eb821b0a3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2dfac5cfa24b47d6ffe9d05528ca264009cd763 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-37b1-7870-9d68-a55675d28b6d"} +{"type":"turn.started"} +{"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_faddd44eb821b0a3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b27791db0cc0327a41a0c9b437370cbe69361b7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-37b1-7870-9d68-a55675d28b6d"} +{"type":"turn.started"} +{"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_faddd44eb821b0a3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/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_faddd44eb821b0a3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_faddd44eb821b0a3/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..07904c8fddb0f4a0b887641709e9556c5d1b8bce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/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": "2026-05-19T16:30:11.783676+00:00", + "ended_at": "2026-05-19T16:30:15.530951+00:00", + "elapsed_ms": 3747.23, + "returncode": 1, + "prompt_metrics": { + "chars": 9044, + "bytes_utf8": 9044, + "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_fca05b2c32c4e60a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..45c5df693afafb880c741c4a5529e8493e1a8c2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/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": "2026-05-19T16:30:16.533216+00:00", + "ended_at": "2026-05-19T16:30:20.249139+00:00", + "elapsed_ms": 3715.87, + "returncode": 1, + "prompt_metrics": { + "chars": 9044, + "bytes_utf8": 9044, + "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_fca05b2c32c4e60a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ad504e02f2acefc91537d36e05992a47e3754c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/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 ranked_signal_view. Focus on group_col=previous, measure_col=previous.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_fca05b2c32c4e60a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ad504e02f2acefc91537d36e05992a47e3754c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/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 ranked_signal_view. Focus on group_col=previous, measure_col=previous.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_fca05b2c32c4e60a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..45d5517df6a9b88669603c6b65a9e632ac1127b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-cebf-70e1-9b21-1f91025709dc"} +{"type":"turn.started"} +{"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_fca05b2c32c4e60a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e833c505856f7a15baa967e0ff9bbf6aef01267d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-cebf-70e1-9b21-1f91025709dc"} +{"type":"turn.started"} +{"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_fca05b2c32c4e60a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ecab8dc56bdb14bf90547d2d5100450b2fbd49d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-e133-7981-9fb2-e4946c044ceb"} +{"type":"turn.started"} +{"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_fca05b2c32c4e60a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe4251e9d98d5e6b571f6fb65f806e978592f2e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-e133-7981-9fb2-e4946c044ceb"} +{"type":"turn.started"} +{"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_fca05b2c32c4e60a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/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_fca05b2c32c4e60a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fca05b2c32c4e60a/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_fd7c0e2c90fff2b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..202c65e312c5e1adf0508687b612de89d52ccc7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/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": "2026-05-19T16:30:36.427471+00:00", + "ended_at": "2026-05-19T16:30:39.988336+00:00", + "elapsed_ms": 3560.82, + "returncode": 1, + "prompt_metrics": { + "chars": 9032, + "bytes_utf8": 9032, + "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_fd7c0e2c90fff2b6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..07758584b46bc57180c317b54ad875312956a313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/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": "2026-05-19T16:30:40.992040+00:00", + "ended_at": "2026-05-19T16:30:44.562037+00:00", + "elapsed_ms": 3569.9, + "returncode": 1, + "prompt_metrics": { + "chars": 9032, + "bytes_utf8": 9032, + "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_fd7c0e2c90fff2b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a9a1c09854a1a13df09615d1a3f4b6ab4fc2d03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/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=y, measure_col=balance.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "y", + "measure_col": "balance", + "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": 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 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_fd7c0e2c90fff2b6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a9a1c09854a1a13df09615d1a3f4b6ab4fc2d03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/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=y, measure_col=balance.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "y", + "measure_col": "balance", + "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": 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 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_fd7c0e2c90fff2b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..15c79ab1b5e24035f8bc0dee8be6fe7a0ba33efc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-2f0d-7271-8a4a-dc513c2035bd"} +{"type":"turn.started"} +{"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_fd7c0e2c90fff2b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6eb723078f285d3dd96658edc4d64b6da90c03dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-2f0d-7271-8a4a-dc513c2035bd"} +{"type":"turn.started"} +{"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_fd7c0e2c90fff2b6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa9722234cbb76ac10b98a587baeca99567b2142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-40fa-7733-9fc6-faf64ab72c45"} +{"type":"turn.started"} +{"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_fd7c0e2c90fff2b6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb234f200cad2e953e8e21c6a3bdcf437437e5ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4113-40fa-7733-9fc6-faf64ab72c45"} +{"type":"turn.started"} +{"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_fd7c0e2c90fff2b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/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_fd7c0e2c90fff2b6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fd7c0e2c90fff2b6/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_fedfe67b10cae5a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0b0877ffd65bf3376d519b908ca0d1daf9a11081 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/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": "2026-05-19T16:21:19.521151+00:00", + "ended_at": "2026-05-19T16:21:22.836097+00:00", + "elapsed_ms": 3314.92, + "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_fedfe67b10cae5a1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f697ee34de1b1631a67c44a94be2af2b18e46a5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/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": "2026-05-19T16:21:23.838391+00:00", + "ended_at": "2026-05-19T16:21:27.502514+00:00", + "elapsed_ms": 3664.07, + "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_fedfe67b10cae5a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d98a0b075aab24a7506b887de8f0e4bc6d8ea10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/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=previous, measure_col=duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "previous", + "measure_col": "duration", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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},\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_fedfe67b10cae5a1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d98a0b075aab24a7506b887de8f0e4bc6d8ea10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/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=previous, measure_col=duration.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "previous", + "measure_col": "duration", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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},\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_fedfe67b10cae5a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c29216c11a906d3bc591f0f1d3babef989eef8d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-af33-7691-ae34-4e2c9e241b0a"} +{"type":"turn.started"} +{"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_fedfe67b10cae5a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a87e840fd618c942c515a09405017dda7dc9c66f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-af33-7691-ae34-4e2c9e241b0a"} +{"type":"turn.started"} +{"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_fedfe67b10cae5a1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb30e903c3bd59c5af868538dae0345f5b9a8f49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-c00c-7713-ac33-b055b7ef903c"} +{"type":"turn.started"} +{"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_fedfe67b10cae5a1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..11c018c5332f94884e41d098a7ae3052e1a8c903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-c00c-7713-ac33-b055b7ef903c"} +{"type":"turn.started"} +{"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_fedfe67b10cae5a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/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_fedfe67b10cae5a1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_fedfe67b10cae5a1/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_ffec138282bf6888/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb10e0319829009e138583ca6e44f6f8fb0d5b2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/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": "2026-05-19T16:29:20.948569+00:00", + "ended_at": "2026-05-19T16:29:24.709781+00:00", + "elapsed_ms": 3761.14, + "returncode": 1, + "prompt_metrics": { + "chars": 8948, + "bytes_utf8": 8948, + "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_ffec138282bf6888/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..090eb1dd8dba7ce4238141ad80f1c9cfb0574508 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/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": "2026-05-19T16:29:25.713397+00:00", + "ended_at": "2026-05-19T16:29:28.886369+00:00", + "elapsed_ms": 3172.91, + "returncode": 1, + "prompt_metrics": { + "chars": 8948, + "bytes_utf8": 8948, + "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_ffec138282bf6888/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28c16c65261716679c54ceac65a6bf326f56e4e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/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 rare_extreme_view. Focus on group_col=housing.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_ffec138282bf6888/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..28c16c65261716679c54ceac65a6bf326f56e4e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/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 rare_extreme_view. Focus on group_col=housing.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_ffec138282bf6888/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1120848baebbf52799acae9be056f1a67eab666c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-081a-7443-882d-9985799b4b28"} +{"type":"turn.started"} +{"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_ffec138282bf6888/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9d86d2288885bb89541f34231ff2c729c2de6b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-081a-7443-882d-9985799b4b28"} +{"type":"turn.started"} +{"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_ffec138282bf6888/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b919330e635e9704c366a737b103f434f20e4ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-1ade-7f90-9d62-a80b928c8fb8"} +{"type":"turn.started"} +{"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_ffec138282bf6888/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f1caf46f99a20f7f988f82db626d733283abf62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4112-1ade-7f90-9d62-a80b928c8fb8"} +{"type":"turn.started"} +{"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_ffec138282bf6888/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_f/m8/artifacts/v2q_m8_ffec138282bf6888/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391